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Taxonomy
              Fundamentals
                Workshop
Taxonomy Boot Camp, October 16, 2012, Washington, DC


                          Marjorie Hlava, President
                          Access Innovations, Inc.
                                            www.accessinn.com



                                Heather Hedden
                Hedden Information Management
                                    www.hedden-information.com
Introductions
Marjorie Hlava
President, Access Innovations, Inc.


Heather Hedden
Taxonomy Consultant, Hedden Information Management
Author, The Accidental Taxonomist
Outline
• The basics
  – 30 minutes
• More details: Polyhierarchies and Facets
  – 30 minutes (including exercises)
• “Taxonomatch”
  – 15 minutes
• Implementation and applications
  – 15 minutes
• Q&A
The Basics – 30 minutes

•   What is a taxonomy?
•   What are the parts of a taxonomy?
•   How do you build one?
•   Guidelines for the terms
•   Subject Matter Experts (SME’s)
•   40 slides



         © 2012. Access Innovations, Inc. All Rights Reserved.
What is a Taxonomy?
         ANSI/NISO Z39.19-2005
                                     controlled

“A collection of controlled vocabulary terms
  organized into a     Yes!

                                               hierarchical structure.”
Missing:
equivalence, associative relationships, and notes


          © 2012. Access Innovations, Inc. All Rights Reserved.
The Semantic Road Map:
   Knowledge Organization Systems
•Complex                                  Semantic network            •Linked Entities
•High value                                                           •Contextual Specificity
                                                      Ontology
                                                   Thesaurus
                                                    Taxonomy
                                     Controlled vocabulary
                                           Synonym set/ring
                                         Name authority file
                         Uncontrolled list list
                              Uncontrolled
                                                                       •Unrelated Entities
 •Simple
 •Low value                                                            •Ambiguity
                              Highest Cost over Time!

              © 2012. Access Innovations, Inc. All Rights Reserved.
                2011.
Basic features - The term record

•   Main Term (MT)                                                      = subject term, heading, node,
                                                                        category, descriptor, class
•   Top Term (TT)
•   Broader Terms (BT)                                      TAXONOMY
•   Narrower Terms (NT)                                             ONTOLOGY
•   Related Terms (RT)
    – See also (SA)                                                  THESAURUS
• Non-Preferred Term (NP)
    – Used for (UF), See (S)
    – Synonyms
• Scope Note (SN)
• History (H)

            © 2012. Access Innovations, Inc. All Rights Reserved.
Taxonomy? Thesaurus?
• Often used interchangeably
• Thesaurus is a taxonomy with extras
  – Related Terms
  – Non-preferred Terms (USE/Used for)
  – Scope Notes
  – More
• Taxonomies often have the actual
  information object at the final node.
• CMS and SharePoint tend to the
  hierarchical view only, definition, and USE


        © 2012. Access Innovations, Inc. All Rights Reserved.
Taxonomy                                                          Thesaurus
  view                                                           Term Record
                                                                    view




                        Copyright © 2005 - Access Innovations,
                                         Inc.
© 2012. Access Innovations, Inc. All Rights Reserved.
How do you build a taxonomy ?
•   Define subject field
•   Collect terms
•   Organize terms
•   Fill in gaps
•   Flesh out and interrelate terms
•   Apply to your data
                   You’re done!


          © 2012. Access Innovations, Inc. All Rights Reserved.
Define subject field
• Review representative collection of content
• Determine:
   – Core areas
   – Peripheral topics
                                                              Sociology

                                                  Psychology
                  Education
                                                              Law
       • Scope can be modified later

      © 2012. Access Innovations, Inc. All Rights Reserved.
Build, buy, augment?
• Survey existing thesaurus/taxonomy resources for your domain
• Test for
   • Scope
   • Depth
   • Make-or-break terms
   • Cost
• Adoption of existing taxonomies
   – Term registries
   – Taxobank
   – Taxonomy Warehouse
   – Other resources
              Don’t reinvent the wheel!


          © 2012. Access Innovations, Inc. All Rights Reserved.
Foundations
• Start with what is known
• Build from there
• Use the literature, your data
• Use internal lists
• Built-in continuous review throughout the
  process, and beyond
• Who is involved?
    – Taxonomists
    – Subject matter experts
    – Project management
    – Users
          © 2012. Access Innovations, Inc. All Rights Reserved.
Collect terms
•   Your documents and databases
•   Departmental terminology
•   Textbooks and their indexes
•   Book tables of contents and indexes
•   Journal quarterly indexes
•   Encyclopedias
•   Lexicons, glossaries on the topic
•   Web resources
•   Users and experts
•   Search logs
          © 2012. Access Innovations, Inc. All Rights Reserved.
Gather terms from search logs
• Top 100 search terms from search logs
• Terms used more than 50 times
• Match to website with appropriate answer
• Basis for favorites or best bets, presented at
  the top of results list
• Behavior-based taxonomy




        © 2012. Access Innovations, Inc. All Rights Reserved.
How do you choose terms?
• Importance in the subject area
• Use in the literature, by the organization or
  community
• Necessary degree of specificity or detail
• Relationship with other controlled
  vocabularies
• Single concept = single term


        © 2012. Access Innovations, Inc. All Rights Reserved.
One term / one concept
• Terms represent simple or unitary concept
• A unit of thought
• May be a single-word term
• May be a multiword term is required to
  represent the concept
                             “A unit of thought, formed by
• Three main categories      mentally combining some or all
    – Concrete entities                                           of the characteristics of a
                                                                  concrete or abstract, real or
    – Abstract concepts                                           imaginary object. Concepts
    – Proper nouns                                                exist in the mind as abstract
                                                                  entities independent of terms
                                                                  used to express them.”
          © 2012. Access Innovations, Inc. All Rights Reserved.
Concrete entities as terms
• Things and their physical parts
  – Birds
     • Feathers
  • Buildings
     • Floors
• Materials
  – Cement
  – Wood
  – Lead
– Cards and Chips

        © 2012. Access Innovations, Inc. All Rights Reserved.
Abstract concepts as terms
• Actions and events
  – evolution, skating, management, ceremonies
• Abstract entities
  – law, theory
• Properties of things, materials, and actions
  – strength, efficiency
• Disciplines and sciences
  – physics, meteorology, mathematics
• Units of measurement
  – pounds, kilograms, miles, meters, nanoseconds



         © 2012. Access Innovations, Inc. All Rights Reserved.
Proper nouns as terms

• Individual entities – “classes of one” –
  expressed as proper nouns
  – San Francisco, Lake Michigan

     Thesaurus standards exclude proper names,
     persons, and trade names  authority files.
     Taxonomies include them as final nodes.



        © 2012. Access Innovations, Inc. All Rights Reserved.
Organize terms – roughly
• Sort terms into several major categories – logical
  groups of similar concepts as Top Terms
  – Identify core areas and peripheral topics
  – 10 – 20 to start
  – Consider moving proper names to authority files
• Result: loose collection of terms under several
  main headings
  – Rough and tentative – see how it fits as you go
  – Initial gap analysis
  – Add / modify / delete as needed


         © 2012. Access Innovations, Inc. All Rights Reserved.
How do terms relate?

• Hierarchical relationships
                                                                TAXONOMY
  – Parents and their children
• Equivalence relationships
  – Aliases                                                         THESAURUS
• Associative relationships
  – Cousins
  – See also’s


        © 2012. Access Innovations, Inc. All Rights Reserved.
Hierarchical relationships
• Broader Term represents the class, whole, or
  genus
• Narrower Term is a member, part, or species
  – Generic relationship
  – Whole-part relationship
  – Instance relationship
• NT inherit all the BT characteristics
• BTs/NTs have a reciprocal relationship


        © 2012. Access Innovations, Inc. All Rights Reserved.
Broader to narrower terms
Politics

                   Elections
                                                     Presidential elections
                                                     Gubernatorial elections
                                                     Mayoral elections




           © 2012. Access Innovations, Inc. All Rights Reserved.
Hierarchy –
         Whole-part relationship
• Four general types
  – Body systems and organs
     • Ear  Middle ear
  – Geographical locations
     • Bernalillo County  Albuquerque
  – Fields of study
     • Geology  Physical geology
  – Hierarchical social structures
     • Ontario  Manitoulin District

         © 2012. Access Innovations, Inc. All Rights Reserved.
Hierarchy – Instance relationship
• General category (common noun) as BT,
  with individual example (proper noun) as NTI
  (Narrower Term Instance)
Seas                                                French cathedrals
  Baltic Sea                                     Chartres Cathedral
  Caspian Sea                                      Rheims Cathedral
  Mediterranean Sea                              Rouen Cathedral


Essentially identical to “final node” in taxonomies

         © 2012. Access Innovations, Inc. All Rights Reserved.
Polyhierarchical relationship
• Term can logically fit under more than one Broader
  Term – can have Multiple Broader Terms (MBT)
• Part of ISO standards, new to ANSI/NISO

   Nurses                                                  Health administrators
    Nurse administrators                                    Nurse administrators
   Finance                                                 Careers
     Accounting                                             Accounting

                                     Copyright © 2009 - Access Innovations,
                                                      Inc.
           © 2012. Access Innovations, Inc. All Rights Reserved.
Generic relationship test – 1
• Both terms in same fundamental category
• “All-and-some” test
                                             Rodents
            SOME                                                 ALL
                                               Squirrels


                                                   Pests
          SOME                                                   NOT ALL
                                               Squirrels

 Inheritance or inclusion – what’s true of the parent (BT)
                is true for all children (NTs)

         © 2012. Access Innovations, Inc. All Rights Reserved.
Generic relationship test – 2


 Rodents
                          Squirrels                       Pests




      ALL squirrels are rodents
     x NOT ALL squirrels are pests
     x NOT ALL pests are rodents

  © 2012. Access Innovations, Inc. All Rights Reserved.
Equivalence relationship
• Preferred Term
  – Thesaurus term and valid for indexing
  – Thesaurus notation: USE

• Non-Preferred Term
  –   Not valid for indexing
  –   An alias or imposter
  –   Entry point, directs user to Preferred Term
  –   Thesaurus notation: UF or NPT
  Spiders                                                     Plant pathology
    UF Arachnids                                                 USE Phytopathology

          © 2012. Access Innovations, Inc. All Rights Reserved.
Equivalence – when to use
  • Synonyms, slang, quasi-synonyms
  • Scientific and trade names
     – Ibubrofen                       UF Motrin™
  • Lexical variants
     – Fiber optics                    UF Fibre optics
     – Mouse                           UF Mice
  • Upward posting of narrow concepts not specified in
    taxonomy or thesaurus
     – Social class                    UF Elite, Middle class, Working class



Get equivalent terms from search logs, brainstorming…
            © 2012. Access Innovations, Inc. All Rights Reserved.
Associative relationship
• Related Terms (RTs) – cousins
• “…terms related conceptually but not hierarchically, and
  are not part of an equivalence set” (i.e. not synonyms)
• Both valid for indexing
• Reciprocal relationship with each other
• Expands user’s awareness, reflects thesaurus
  coverage of unanticipated areas
• Main basis for the ontology
• 14 main options offered in Z39.19

         © 2012. Access Innovations, Inc. All Rights Reserved.
Scope Notes (SN)
• Indicate meaning of the term in the context of
  this thesaurus, for this audience
   – Stress – Mental, Psychological, Physiological
• Could be the definition or glossary
• Indicate any restriction in meaning
• Indicate range of topics covered
• Provide direction for indexers; for terms often
  confused, may suggest an alternative term
• Use as needed – may not be for every term
• Use a style guide
• Be concise

        © 2012. Access Innovations, Inc. All Rights Reserved.
Stating the terms
•   Term format
•   Grammatical issues
•   Singular and plural forms
•   Spelling
•   Abbreviations and acronyms
•   Capitalization
•   Other punctuation
•   Consistency

         © 2012. Access Innovations, Inc. All Rights Reserved.
Term format
• KISS – Keep it short and simple
  – 1-2-3 words
  – Effect on search
  – Pre- and Post-Coordination
• Establish a policy
  – follow Chicago Manual of Style
• Grammatical issues
  – Nouns and noun phrases
  – Verbs  Gerunds
  – Adjectives - no
  – Adverbs - no
  – Initial articles – no

        © 2012. Access Innovations, Inc. All Rights Reserved.
Compound terms – nope!
• “Terms in a thesaurus should represent simple or
  unitary concepts…” (ISO standard)
• “Compound terms should be factored (split) into
  simple elements…” (ANSI/NISO standard)
• Term phrases are okay (bigrams)
   – Adjective-Noun
   – American history
• Two concepts combined are not
   – Aromatherapy for bloating

         © 2012. Access Innovations, Inc. All Rights Reserved.
Pre and post coordinate terms
• Pre coordinates – two concepts
  – Subject headings – Library of Congress
    • American history – Civil War
  – Back of the book
  – Put together in advance by the publisher
• Post Coordinate
  – Taxonomy terms
  – Single concept
  – Put together by the user / searcher

       © 2012. Access Innovations, Inc. All Rights Reserved.
So far you’ve got
• Hierarchy
  – Broader and Narrower Terms
  – Polyhierarchies when needed
• Preferred/Non-Preferred Terms
  – Equivalence relationships
• Related Terms
  – Associative relationships
• Scope Notes
• Complete term records
  – Correct term format
        © 2012. Access Innovations, Inc. All Rights Reserved.
Review, edit, test, edit,
     use, edit, and maintain, i.e. edit
 • Review                                                            • Edit and maintain
     – Users                                                            –   Add term
     – Expert reviewers                                                 –   Change existing term
 • Test                                                                 –   Change term status
     – Index 500+ documents                                             –   Delete term
       (more for variable writing                                       –   Add term relationship
       style; fewer for strict style)                                   –   Delete term relationship
     – Monitor search log                                               –   Add/modify Scope Note
                                                                        –   Change overall structure

Consider automated / assisted indexing software

             © 2012. Access Innovations, Inc. All Rights Reserved.
Subject Matter Experts
•   Work first from the literature
•   Establish literary warrant for terms
•   Someone else do the clerical work
•   Differentiate the lexicography work
    – From the Subject Matter expert work
• Let SMEs do the review and tailoring
• Expert review ensures the proper term use
  and application
• Advisory Board…advisable!
          © 2012. Access Innovations, Inc. All Rights Reserved.
More Details
 Polyhierarchies
 Facets




              © 2012 Hedden Information Management
Polyhierarchies


                     Term                                            Term



                                                     Child                   Child
       Child                  Child
                                                    Term 1                  Term 2
      Term 1                 Term 2


Grand-     Grand-                                               Grand-         Grand-
                        Grand-         Grand-
child 1    child 2                                              child 1        child 2
                        child 3        child 4


          Hierarchy               Polyhierarchy

                              © 2012 Hedden Information Management
Polyhierarchies
 A term has a polyhierarchy if it has more than
  one broader term.
 Polyhierarchy is permitted if the hierarchical
  relationship is valid in both/all cases
 Remember “All-and-Some” test for each
  generic hierarchical relationship




                 © 2012 Hedden Information Management
Polyhierarchies
   Based on generic relationship




          Professions                               Motor vehicles



    Musicians     Educators                    Cars                 Trucks




         Music Teachers                                    Light trucks


                    © 2012 Hedden Information Management
Polyhierarchies
   Based on different kinds of hierarchical relationships/
    different means of categorizing (less common)


                Bodies                  United
                of Water                States



                 Lakes                    Utah



                     Great Salt Lake


                     © 2012 Hedden Information Management
Polyhierarchy - Pluses

Polyhierarchy is useful when…
   It is obviously logical for select terms
     (cross-overs/hybrids, e.g. Music teachers or Light Trucks)
   It is indicated by different stakeholder views
   Indexers/taggers browse the taxonomy hierarchically
   End-user testing/input (e.g. card-sorting) indicates users
    are split as to where in the hierarchy an item belongs




                       © 2012 Hedden Information Management
Polyhierarchy - Pluses
Retail website                              Sports taxonomy
case study example:                         case study example:



Health & Fitness                            Back Exercises
   › Portable Fitness Electronics           › Dead Lifts
       › Fitness GPS Watches
                                            Hamstring Exercises
Car, Marine & GPS                           › Dead Lifts
   › GPS Navigation
      › Handheld GPS
         › Fitness GPS Watches



                      © 2012 Hedden Information Management
Polyhierarchy - Minuses

Polyhierarchy is not so good when…
   It violates hierarchical relationship standards
   It becomes excessive, perhaps more common than mono-
    hierarchies
   It is the result of different kinds of a categorization,
    and the presence of different kinds of categorization is
    confusing
   It is a small taxonomy and the user doesn’t need or
    expect polyhierarchy



                      © 2012 Hedden Information Management
Polyhierarchy - Minuses
Problems with excessive polyhierarchies:
   Familiar tree structure is lost. Users cannot see the logical hierarchy.
   Users spend too much time clicking through categories.




                         © 2012 Hedden Information Management
Polyhierarchy - Minuses
Logical polyhierarchies, if done consistently, could
  become extensive.

Example: creating polyhierarchies for products
  based on different classifications

Glass Products   Tableware                       Balls         Soccer Equipment




        Wine Glasses                                      Soccer Balls


                       © 2012 Hedden Information Management
Polyhierarchy - Minuses
Multiple, potentially confusing categorizations:
   Place names in hierarchies for both geographic location
    and for place type
   Products in hierarchies for both material and for use
   Physical exercises in hierarchies for both body part and
    purpose/type (strength, endurance, etc.)


   “It’s OK, we can have polyhierarchies”
              This is not always the best solution.
   Maybe facets should be used instead.



                        © 2012 Hedden Information Management
Polyhierarchies - Cases
Violating hierarchical relationship standards
 Might be OK in some cases in some taxonomies
 But avoid overuse in polyhierarchies

                                                Computers & Tablets
   Case study example:                            Laptop & Netbook Computers
    Accessories as a narrower term               Tablets, iPads & E-Readers
                                                  Desktop & All-in-One Computers
     to a product category                        Monitors
    Services as a narrower term                  Mice & Keyboards
     to a product category                        Printers
                                                  Hard Drives & Storage
                                                  Computer Memory
                                                  Video Cards & PC Components
                                                  Networking & Wireless
                                                  Software
                                                  Computer Accessories
                                                  Computer Setup & Services

                    © 2012 Hedden Information Management
Polyhierarchies - Cases
Violating hierarchical relationship standards within limits
     Computers & Tablets
          Laptop & Netbook Computers
                PC Laptops
                MacBooks
                Chromebooks
                Netbooks
                        All Netbooks
                        Netbook Cases
                        Computer Setup & Services                Not OK
                Laptop Accessories
               Computer Setup & Services                         OK
           Desktop & All-in-One Computers
                   All-in-One Computers
                   Towers Only
                   Desktop Packages
                   Computer Setup & Services
                                                                 OK

                          © 2012 Hedden Information Management
Polyhierarchies - Cases
Do not create a polyhierarchy to both a
 “parent” and a “grandparent.”

         Cameras
                            Grandparent of Digital SLR Cameras



                  Digital Cameras
                                            Parent of Digital SLR Cameras



   Digital SLR Cameras



                         © 2012 Hedden Information Management
Polyhierarchies - Cases
Might be better not to have polyhierarchies when the
  taxonomy is small and the number of top-level
  categories are few

Case study: Client management documents of a financial services
  company has 114 topical terms categorized with just five broader
  terms:
          Account Information
          Client Information
          Client Status
          Disclosures & Notifications
          Approvals/Guidance
   Decided against polyhierarchies.
   Reason: Repeat users can memorize the small hierarchy. They
     don’t expect polyhierarchy here.



                       © 2012 Hedden Information Management
Polyhierarchies - Conclusions
Some is good. More isn’t necessarily better.
 Polyhierarchies are best for isolated terms that can fall
  into two categories.
 Polyhierarchies can become too many in cases of
  overlays of two different categorization methods for
  numerous terms. (Facets may be better.)
 Polyhierarchies are useful, no matter how extensive, in
  term-focused thesauri
 Polyhierarchies should be more limited in fully displayed
  taxonomies




                   © 2012 Hedden Information Management
Polyhierarchies - Exercise
Propose two broader terms for each:


 Hotel managers
 Printers
 Fish
 Egypt
 Bill Gates


                © 2012 Hedden Information Management
Facets
   For serving faceted classification, which allows the
    assignment of multiple classifications to an object
   A “dimension” of a query; a type of concept
   Intended for searching with multiple terms in combination
    (post-coordination), one from each facet
   Can be for topics or for named entities, but generally not
    both
   Reflect the domain of content
   A subset of metadata fields



                      © 2012 Hedden Information Management
Facets
Faceted Classification
Mathematician/librarian S.R. Ranganathan (1920s)
    developed as an alternative to the Dewey Decimal
    System for books:
“Colon Classification”
1.  Personality – topic or orientation
2.  Matter – things or materials
3.  Energy – actions
4.  Space – places or locations
5.  Time – times or time periods

                   © 2012 Hedden Information Management
Facets

Facets are suitable for:
   Structured data with discernable metadata fields or
    database records
   Homogeneous data with similar types of characteristics
    (e.g. products in an e-commerce site)

Example types of facets:
    For products
     category, brand, size, color, price range, features
    For people
     name, job title, gender, birth year, location, department
    For reports
     author, subject, audience, document type, language



                        © 2012 Hedden Information Management
Facets
                                           For Web sites:
For enterprise taxonomies:                 Rosenfeld and Morville,
Patrick Lambe,                             Information Architecture
Organising Knowledge                        Topic
   People and organizations                Product
   Things and parts of things              Document type
   Activity cycles                         Audience
   Locations                               Geography
                                            Price



                   © 2012 Hedden Information Management
Facet Examples
  1. Shoebuy.com - advanced search
     http://www.shoebuy.com/s.jsp/r_as

  2. My Recipes
     http://search.myrecipes.com

  3. Microbial Life Educational Resources
     http://serc.carleton.edu/microbelife/resources




                   © 2012 Hedden Information Management
© 2012 Hedden Information Management
My Recipes




© 2012 Hedden Information Management
© 2012 Hedden Information Management
Facets & Hierarchies
Combining Facets and Hierarchies

1. Have hierarchies within facets
2. Start with hierarchical categories and then limit
   further with facets




                 © 2012 Hedden Information Management
Facets & Hierarchies
1. Hierarchies within facets: indented display

World Bank documents advanced search
http://documents.worldbank.org/curated/en/docadvancesearch




                  © 2012 Hedden Information Management
Facets & Hierarchies
2. Hierarchies of topics, then facets to narrow results:

    ThomasNet business directory
    http://ps.thomasnet.com/productsearch

    Buzzillions product reviews
    http://www.buzzillions.com

    Amazon.com books browse
    http://www.amazon.com



                    © 2012 Hedden Information Management
Taxonomy Structures: Hierarchies
One level per web page
Yahoo directory
   http://search.yahoo.com/dir

ThomasNet browse
   http://www.thomasnet.com/browse
© 2012 Hedden Information Management
Buzzillions




© 2012 Hedden Information Management
Amazon > Books
Facets - Conclusions
Advantages
 Supports more complex search queries by users
 Allows users to control the search refinement, narrowing
  or broadening in any manner or order

Disadvantages
 Only suitable for somewhat structured, unified type of
  content that share the same multiple facets
 Might not support multiple terms selected at once from
  the same facet
 Often hidden from users under “Advanced Search”
 Requires investment of thorough (multifacted)
  indexing/tagging

                    © 2012 Hedden Information Management
Facets - Conclusions
Facet Design Tips
   Number of facets: 4-8, with 5-6 as ideal
   Facets listed in logical, not alphabetical order
   Number of terms per facet: 2-25
       Ideally not much more than can be viewed in a scroll box
       If the list is obvious (US states), then more is OK.
       Exception can be made for hierarchical “Topics” facet
   If <12 terms, then a logical display order
    If >12 terms, then alphabetical
   A two-level hierarchy (indented) within a facet is possible


                       © 2012 Hedden Information Management
Facets - Exercise

Designate a set of 4-7 facets for a tour
 operator web site selling vacation
 packages.




               © 2012 Hedden Information Management
• Designed to enhance understanding and retention of the
  vocabulary concepts necessary for creating a taxonomy,
  ontology, thesaurus, or controlled vocabulary.
• Game supplies:
   – 1 Deck of Orange Question and Challenge Cards
   – 1 Deck of Green Answer Cards
• Game setup:
   –   Shuffle the deck of Green Answer cards,
   –   Deal the entire deck to the players.
   –   Shuffle the deck of Orange Question and Challenge cards
   –   Place them facedown in a pile in the middle of the table so
       that all players can reach the pile.

• Reinforce what you just heard!
• Have fun!
             © 2012. Access Innovations, Inc. All Rights Reserved.
1.   Play moves to the left of the dealer           7.                      Discussion among the players to arrive at the
2.   Draw a card from the top of the Orange cards.                          correct answer is permissible and encouraged!
     Read it aloud to all of the players.           8.                      If players do not arrive at a consensus
3.   The player who read the card says out loud                             regarding the correct answer, the Orange
     what they think the answer is.                                         Question and Challenge card may be returned
4.   Each player looks at the Green Answer cards                            to the bottom of the pile, and play passes to
     in their hand.                                                         the person to the left of the player who drew
                                                                            the previous card.
     1.     If they have the correct answer to the
           Question or Challenge, they show their 9.                        When all of the Orange Question and
                                                                            Challenge cards have been drawn, read aloud,
           card to everyone at the table.                                   and matched with their Green Answer cards,
     2.    If everyone agrees that the answer is                            the game ends.
           correct, the player holding the correct  10.                     If there are any Orange Question and
           answer card gives it to the player who                           Challenge cards remaining to which players
           read the Question or Challenge card.                             cannot agree on an answer, players may
5.   The player places their associated pair of                             consult their notes or ask the session speaker.
     cards – one Orange Question and Challenge
     card and one Green Answer card – face up on
     the table in front of them.
6.   Play passes to the person who held the correct
     Green Answer card in their hand. Play
     continues as in step 2 above.




                    © 2012. Access Innovations, Inc. All Rights Reserved.
Implementation and applications
•   Adding the terms to the information objects
•   Search and other applications
•   Taxonomy use cases – implementation
•   Opportunities and Obstacles
•   30 minutes




          © 2012. Access Innovations, Inc. All Rights Reserved.
Parts of the puzzle
• The taxonomy
  – The words to use
  – In the order you want the users to browse
• Applications
  – Search, CMS, SharePoint etc
• Implementation / actions
  – Making the links
  – Adding terms to information objects
• Most people confuse the parts and they act
  very differently

         © 2012. Access Innovations, Inc. All Rights Reserved.
The Workflow
              Fully integrated with MOSS
                                                                            Build          Create
       Gather                Tag and                           Put in
                                                                            search         user
       source                create                            database
                                                                            inverted       interface
       data                  metadata                          with tags
                                                                            index

Client Data                    Automatic
                             Summarization
Full Text                                                                                Search
HTML, PDF,
                              Machine Aided
                                                                                       Presentation
Data Feeds,
                                 Indexer                                                  Layer
etc.                            (M.A.I.™)
                                                                            Search
                                                               Database    Software     Increases
                             Inline Tagging                   Repository                accuracy
       Client                                                                          Browse by Subject
Client Taxonomy
  taxonomy                    Metadata and                                             Auto-completion
                              Entity Extractor                                         Broader Terms
                                                                                       Narrower Terms
                                Thesaurus                                              Related Terms
                                 Master



                  © 2012. Access Innovations, Inc. All Rights Reserved.
Adding terms to information objects
• Part of the record
  – XML
  – MARC
• A relational table pointing the terms to a
  record ID number (Secondary key)
• Adding data to the HTML
  – META NAME KEYWORD Element
• Many other options


        © 2012. Access Innovations, Inc. All Rights Reserved.
Part of the record - XML
• Added as an element in the XML record
• Need an element to put the data in
  – <Taxonomy Term>
• Capture the terms when creating the records




       © 2012. Access Innovations, Inc. All Rights Reserved.
Editorial Workflow Integration
                Author Submission Module
The author fills in the data to the document template, attaching images
                         and graphs as necessary

  An API calls Data Harmony and generates a list of indexing terms
                       based on the content




               © 2012. Access Innovations, Inc. All Rights Reserved.
Editorial Workflow Integration
         Author Submission Module

Authors review the
indexing and may
change it

Content is stored
into a data
repository as
HTML, XML, etc.


       © 2012. Access Innovations, Inc. All Rights Reserved.
In the HTML record
• Makes it crawl able for the Internet
• Used in CMS applications
  – Content Management Systems
• Add to the HTML
  – Manually
  – In Dreamweaver
  – In your CMS like Extron
• Author Submissions Example
• Do the same with SharePoint
        © 2012. Access Innovations, Inc. All Rights Reserved.
META NAME “KEYWORDS”




 © 2012. Access Innovations, Inc. All Rights Reserved.
In Relational Database Table
• Primary key – the record
• Secondary key all the metadata
  – Like taxonomy terms
  – Like author
  – Like publication date
• Used in Oracle, SQL, etc
  – Need filed to put the taxonomy data in
• Supports “Faceted Search”
  – Each item in a separate field or element or table


         © 2012. Access Innovations, Inc. All Rights Reserved.
Relational database diagram




  © 2012. Access Innovations, Inc. All Rights Reserved.
Using taxonomies in applications
•   Improve search            •                                   In “indexing” or categorizing,
•   Subject browsing                                              as subject metadata
•   Mobile intelligence       •                                   In content management
•   Targeted resources based                                      systems
    on subject or user role   •                                   In SharePoint
•   Link to society resources •                                   In mashups
•   Author submission module •                                    In social networking sites
•   Author authority database •                                   In author tagging
•   Expert reviewer           •                                   In filtering data – e.g., spam
    identification                                                filters and RSS feeds
•   Member profiles           •                                   In web crawlers
•   Data visualization        •                                   Social media - community
•   More like this
          © 2012. Access Innovations, Inc. All Rights Reserved.
Why does search fail?
• Most large organizations have 5 search
  softwares
  – All disappointing and on the shelf
• Inconsistent results
• Unclear path to results
• Lack of single unified clear consistent
  vocabulary
• Not tied to data governance
  – Taxonomy
  – Other metadata
        © 2012. Access Innovations, Inc. All Rights Reserved.
Parts of Search

• Search software
  – Inverted Index
  – Search algorithms
• Presentation layer
  – Search box
  – Autocompletion
  – Related and narrower terms
  – Hierarchical display


        © 2012. Access Innovations, Inc. All Rights Reserved.
Sample DOCUMENT
                                   Outline of Presentation
                              1 Define key terminology
                              2 Thesaurus tools
Creating
              – Features
an            – Functions
Inverted   3 Costs
File Index    – Thesaurus construction
                                      – Thesaurus tools
                              4 Why & when?
        © 2012. Access Innovations, Inc. All Rights Reserved.
Simple inverted file index
   The terms from the “outline”
    &                                                         key
    1                                                         of
    2                                                         outline
    3                                                         presentation
    4                                                         terminology
    construction                                              thesaurus
    costs                                                     tools
    define                                                    when
    features
                                                              why
    functions


      © 2012. Access Innovations, Inc. All Rights Reserved.
Complex inverted file index
            Placement location
                                                         key - L2, P2, H
& - Stop                                                 of - Stop
1 - Stop                                                 outline - L1, P1, T
2 - Stop                                                 presentation - L1, P3, T
3 - Stop                                                 terminology - L2, P3, H
4 - Stop                                                 thesaurus - (1) - L3, P1, H
construction - L7, P2, SH                                  (2) - L7, P1, SH
costs - L6, P1, H                                          (3) - L8, P1, SH
define - L2, P1, H                                       tools - (1) - L3, P2, H
features - L4, P1, SH                                       (2) - L8, P2, SH
functions - L5, P1, SH                                   when - L9, P3, H
                                                         why - L9, P1, H

            © 2012. Access Innovations, Inc. All Rights Reserved.
Improve search                                                  www.mediasleuth.com




  Auto-completion using the
  taxonomy




                                                                         Guide the user


Navigate
the full
taxonomy
“tree”
BROWSE        © 2012. Access Innovations, Inc. All Rights Reserved.
                2011.
Subject browsing




© 2012. Access Innovations, Inc. All Rights Reserved.
  2011.
Targeted resources based on
                subject or user role




                                                           CONFIDENTIAL
   © 2012. Access Innovations, Inc. All Rights Reserved.
Linked data
                                  CME Activity
                                   on Topic A                       Upcoming
 Other Journal                                                      Conference
  Articles on                                                       on Topic A
    Topic A


                                                                                   Job Posting
                                              Journal                               for Expert
                                             Article on                             on Topic A
                                              Topic A


Grant Available for                                                Podcast Interview
  Researchers                                                       with Researcher
Working on Topic A                                                 Working on Topic A

                                 Author Networks
                                 Social Networking

           © 2012. Access Innovations, Inc. All Rights Reserved.
Link to society resources
Cancer Epidemiology Biomarkers & Prevention                                   Related Press Releases
                                                                              •How What and How Much We Eat (And Drink) Affects Our
Vol. 12, 161-164,                                                             Risk of Cancer
February 2003                                                                 •Novel COX-2 Combination Treatment May Reduce Colon
© 2003 American Association for Cancer Research                               Cancer Risk Combination Regimen of COX-2 Inhibitor and
                                                                              Fish Oil Causes Cell Death
Short Communications                                                          •COX-2 Levels Are Elevated in Smokers


Alcohol, Folate, Methionine, and Risk of Incident Breast
Cancer in the American Cancer Society Cancer Prevention                       Related AACR Workshops and Conferences
                                                                              •Frontiers in Cancer Prevention Research
Study II Nutrition Cohort                                                     •Continuing Medical Education (CME)
Heather Spencer Feigelson1, Carolyn R. Jonas, Andreas S.                      •Molecular Targets and Cancer Therapeutics
Robertson, Marjorie L. McCullough, Michael J. Thun and                        Related Meeting Abstracts
Eugenia E. Calle Department of Epidemiology and Surveillance                  •Association between dietary folate intake, alcohol intake, and
                                                                              methylenetetrahydrofolate reductase C677T and A1298C
Research, American Cancer Society, National Home Office,                      polymorphisms and subsequent breast
Atlanta, Georgia 30329-4251                                                   •Folate, folate cofactor, and alcohol intakes and risk for
                                                                              colorectal adenoma
                                                                              •Dietary folate intake and risk of prostate cancer in a large
Recent studies suggest that the increased risk of breast cancer               prospective cohort study
associated with alcohol consumption may be reduced by
adequate folate intake. We examined this question among                       Related Education Book Content
66,561 postmenopausal women in the American Cancer Society
Related Working Groups               Think Tank Report                        Oral Contraceptives, Postmenopausal Hormones,
•FinancePrevention Study II NutritionRelated Think Tank Report
Cancer                               Cohort.                                  and Breast Cancer
•Charter                            Content                                   Physical Activity and Cancer
•Molecular Epidemiology             Webcasts                                  Hormonal Interventions: From Adjuvant Therapy to
Related Awards                      Related Webcasts                          Breast Cancer Prevention
•AACR-GlaxoSmithKline Clinical Cancer Research
Scholar Awards
•ACS Award
•Weinstein Distinguished Lecture
                      © 2012. Access Innovations, Inc. All Rights Reserved.
Authors at a place




© 2012. Access Innovations, Inc. All Rights Reserved.
Member profile tagging



User pastes or
 uploads CV




Button to auto-
extract taxonomy
attributes



            © 2012. Access Innovations, Inc. All Rights Reserved.
              2011.
User uploads a document
                        to SharePoint space
                                                                      Adding terms
                                                                      to SharePoint

Before uploading to                                                   Data Harmony
SharePoint server, the                                                automatically attaches
EventHandler sends the                                                indexing terms before
document to Data                                                      uploading to MOSS
Harmony.




   TaxoTerm Server                                                          Microsoft
       Data Harmony                   Returns subject                      SharePoint
          (M.A.I.)                    metadata                             Server 2010

                                                                                          108

              © 2012. Access Innovations, Inc. All Rights Reserved.
SharePoint 2010 only shows 10 lines of
            the taxonomy
                                                        This add on makes it all viewable




                                                                                       109
       © 2012. Access Innovations, Inc. All Rights Reserved.
Taxonomies added in
        search example
Core Architectural Components
                                                                                    Administrator’s
                                                                                      Dashboard




                                                               FAST MANAGEMENT API

     Web                                WEB                                          SEARCH
    Content                           CRAWLER                                        SERVER                                                        Vertical
                                                                                                      Pipeline




                                                                                                                   QUERY API
                                                                                                                                       Query     Applications
                                        FILE                        Pipeline




                                                                                                      PROCESSOR
    Files,
                                     TRAVERSER




                                                                                                        QUERY
  Documents
                                                      CONTENT API



                                                                                                                                                   Portals
                                      DATABASE
                                                                    PROCESSOR
                                                                    DOCUMENT

   Databases                         CONNECTOR                                      Index DB
                                                                                                                                       Results     Custom
                                       EMAIL                                         FILTER                       Alerts                         Front-Ends
    Email,
  Groupware                          CONNECTOR                                       SERVER

                                                                                                                                                   Mobile




                                                                                                                      Search harmony
    Custom       Content              CUSTOM
                                                                                                                                                   Devices
  Applications    Push               CONNECTOR

                                                                                    Agent DB
                                                                      MAIstro




                                                                                  Use taxonomy terms here
                                                                                Data Harmony Governance API

                      © 2012. Access Innovations, Inc. All Rights Reserved.
Autosuggestion of taxonomy terms
                                                                   Allow for manual
                                                                   review of auto-
Populate
                                                                   tagging for
Keywords,
                                                                   quality
Descriptors,
                                                                   assurance.
Indexing terms,
etc.




           © 2012. Access Innovations, Inc. All Rights Reserved.
More Innovations
• Link topic to article to author to event
• Make visual links within domain
• Enable authors to submit and categorize
  conference submissions
• Create author authority database linking to co-
  authors, topics, locations, etc.
• Create expert reviewer database
• Create member profiles with alternate names,
  publications, tagged by topic
• Visualize data and domain distribution
• Display interest connections in social network
• Deliver accurate targeted information through
  mobile applications
• Etc.
         © 2012. Access Innovations, Inc. All Rights Reserved.
Taxonomy standards
•   Z39.19 (2005) Controlled Vocabularies
•   BS 8723 Parts 1 – 5
•   ISO25964 Parts 1 - 2
•   TAG 37 and 46 standards
•   SKOS - Simple Knowledge Organization System
•   OWL - Web Ontology Language
•   AND more!




         © 2012. Access Innovations, Inc. All Rights Reserved.
IT is often Fire, Ready, Aim!
•   Choose the hardware
•   Choose the software
•   Decide on the format
•   Convert the data
•   Fix the data
•   Tack on a taxonomy
•   Ignore the standards


         © 2012. Access Innovations, Inc. All Rights Reserved.
Change to Ready, Aim, Fire!


• Follow the data
• Look at the data, format and content
• Design taxonomy for data
• Leverage the standards
• Use taxonomy to tag data
• Choose search and repository software for
  data
• Load the data into the system
• Keep your eye on the target
        © 2012. Access Innovations, Inc. All Rights Reserved.
Summary
•   We covered the basics
•   We talked about the implementation
•   Application of the terms to your content
•   We reinforced the learning with activities
•   No go hear the case studies of the next two
    days!



          © 2012. Access Innovations, Inc. All Rights Reserved.
Questions?
Heather Hedden                     Marjorie M.K. Hlava
Taxonomy Consultant                          President
Hedden Information Management   Access Innovations, Inc.
www.hedden-information.com         www.accessinn.com
www.accidental-taxonomist.com   www.data-harmony.com

heather@hedden.net              mhlava@accessinn.com
978-467-5195                            505-998-0800

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Taxonomy Fundamentals Workshop

  • 1. Taxonomy Fundamentals Workshop Taxonomy Boot Camp, October 16, 2012, Washington, DC Marjorie Hlava, President Access Innovations, Inc. www.accessinn.com Heather Hedden Hedden Information Management www.hedden-information.com
  • 2. Introductions Marjorie Hlava President, Access Innovations, Inc. Heather Hedden Taxonomy Consultant, Hedden Information Management Author, The Accidental Taxonomist
  • 3. Outline • The basics – 30 minutes • More details: Polyhierarchies and Facets – 30 minutes (including exercises) • “Taxonomatch” – 15 minutes • Implementation and applications – 15 minutes • Q&A
  • 4. The Basics – 30 minutes • What is a taxonomy? • What are the parts of a taxonomy? • How do you build one? • Guidelines for the terms • Subject Matter Experts (SME’s) • 40 slides © 2012. Access Innovations, Inc. All Rights Reserved.
  • 5. What is a Taxonomy? ANSI/NISO Z39.19-2005 controlled “A collection of controlled vocabulary terms organized into a Yes! hierarchical structure.” Missing: equivalence, associative relationships, and notes © 2012. Access Innovations, Inc. All Rights Reserved.
  • 6. The Semantic Road Map: Knowledge Organization Systems •Complex Semantic network •Linked Entities •High value •Contextual Specificity Ontology Thesaurus Taxonomy Controlled vocabulary Synonym set/ring Name authority file  Uncontrolled list list Uncontrolled •Unrelated Entities •Simple •Low value •Ambiguity Highest Cost over Time! © 2012. Access Innovations, Inc. All Rights Reserved. 2011.
  • 7. Basic features - The term record • Main Term (MT) = subject term, heading, node, category, descriptor, class • Top Term (TT) • Broader Terms (BT) TAXONOMY • Narrower Terms (NT) ONTOLOGY • Related Terms (RT) – See also (SA) THESAURUS • Non-Preferred Term (NP) – Used for (UF), See (S) – Synonyms • Scope Note (SN) • History (H) © 2012. Access Innovations, Inc. All Rights Reserved.
  • 8. Taxonomy? Thesaurus? • Often used interchangeably • Thesaurus is a taxonomy with extras – Related Terms – Non-preferred Terms (USE/Used for) – Scope Notes – More • Taxonomies often have the actual information object at the final node. • CMS and SharePoint tend to the hierarchical view only, definition, and USE © 2012. Access Innovations, Inc. All Rights Reserved.
  • 9. Taxonomy Thesaurus view Term Record view Copyright © 2005 - Access Innovations, Inc. © 2012. Access Innovations, Inc. All Rights Reserved.
  • 10. How do you build a taxonomy ? • Define subject field • Collect terms • Organize terms • Fill in gaps • Flesh out and interrelate terms • Apply to your data You’re done! © 2012. Access Innovations, Inc. All Rights Reserved.
  • 11. Define subject field • Review representative collection of content • Determine: – Core areas – Peripheral topics Sociology Psychology Education Law • Scope can be modified later © 2012. Access Innovations, Inc. All Rights Reserved.
  • 12. Build, buy, augment? • Survey existing thesaurus/taxonomy resources for your domain • Test for • Scope • Depth • Make-or-break terms • Cost • Adoption of existing taxonomies – Term registries – Taxobank – Taxonomy Warehouse – Other resources Don’t reinvent the wheel! © 2012. Access Innovations, Inc. All Rights Reserved.
  • 13. Foundations • Start with what is known • Build from there • Use the literature, your data • Use internal lists • Built-in continuous review throughout the process, and beyond • Who is involved? – Taxonomists – Subject matter experts – Project management – Users © 2012. Access Innovations, Inc. All Rights Reserved.
  • 14. Collect terms • Your documents and databases • Departmental terminology • Textbooks and their indexes • Book tables of contents and indexes • Journal quarterly indexes • Encyclopedias • Lexicons, glossaries on the topic • Web resources • Users and experts • Search logs © 2012. Access Innovations, Inc. All Rights Reserved.
  • 15. Gather terms from search logs • Top 100 search terms from search logs • Terms used more than 50 times • Match to website with appropriate answer • Basis for favorites or best bets, presented at the top of results list • Behavior-based taxonomy © 2012. Access Innovations, Inc. All Rights Reserved.
  • 16. How do you choose terms? • Importance in the subject area • Use in the literature, by the organization or community • Necessary degree of specificity or detail • Relationship with other controlled vocabularies • Single concept = single term © 2012. Access Innovations, Inc. All Rights Reserved.
  • 17. One term / one concept • Terms represent simple or unitary concept • A unit of thought • May be a single-word term • May be a multiword term is required to represent the concept “A unit of thought, formed by • Three main categories mentally combining some or all – Concrete entities of the characteristics of a concrete or abstract, real or – Abstract concepts imaginary object. Concepts – Proper nouns exist in the mind as abstract entities independent of terms used to express them.” © 2012. Access Innovations, Inc. All Rights Reserved.
  • 18. Concrete entities as terms • Things and their physical parts – Birds • Feathers • Buildings • Floors • Materials – Cement – Wood – Lead – Cards and Chips © 2012. Access Innovations, Inc. All Rights Reserved.
  • 19. Abstract concepts as terms • Actions and events – evolution, skating, management, ceremonies • Abstract entities – law, theory • Properties of things, materials, and actions – strength, efficiency • Disciplines and sciences – physics, meteorology, mathematics • Units of measurement – pounds, kilograms, miles, meters, nanoseconds © 2012. Access Innovations, Inc. All Rights Reserved.
  • 20. Proper nouns as terms • Individual entities – “classes of one” – expressed as proper nouns – San Francisco, Lake Michigan Thesaurus standards exclude proper names, persons, and trade names  authority files. Taxonomies include them as final nodes. © 2012. Access Innovations, Inc. All Rights Reserved.
  • 21. Organize terms – roughly • Sort terms into several major categories – logical groups of similar concepts as Top Terms – Identify core areas and peripheral topics – 10 – 20 to start – Consider moving proper names to authority files • Result: loose collection of terms under several main headings – Rough and tentative – see how it fits as you go – Initial gap analysis – Add / modify / delete as needed © 2012. Access Innovations, Inc. All Rights Reserved.
  • 22. How do terms relate? • Hierarchical relationships TAXONOMY – Parents and their children • Equivalence relationships – Aliases THESAURUS • Associative relationships – Cousins – See also’s © 2012. Access Innovations, Inc. All Rights Reserved.
  • 23. Hierarchical relationships • Broader Term represents the class, whole, or genus • Narrower Term is a member, part, or species – Generic relationship – Whole-part relationship – Instance relationship • NT inherit all the BT characteristics • BTs/NTs have a reciprocal relationship © 2012. Access Innovations, Inc. All Rights Reserved.
  • 24. Broader to narrower terms Politics Elections Presidential elections Gubernatorial elections Mayoral elections © 2012. Access Innovations, Inc. All Rights Reserved.
  • 25. Hierarchy – Whole-part relationship • Four general types – Body systems and organs • Ear  Middle ear – Geographical locations • Bernalillo County  Albuquerque – Fields of study • Geology  Physical geology – Hierarchical social structures • Ontario  Manitoulin District © 2012. Access Innovations, Inc. All Rights Reserved.
  • 26. Hierarchy – Instance relationship • General category (common noun) as BT, with individual example (proper noun) as NTI (Narrower Term Instance) Seas French cathedrals Baltic Sea Chartres Cathedral Caspian Sea Rheims Cathedral Mediterranean Sea Rouen Cathedral Essentially identical to “final node” in taxonomies © 2012. Access Innovations, Inc. All Rights Reserved.
  • 27. Polyhierarchical relationship • Term can logically fit under more than one Broader Term – can have Multiple Broader Terms (MBT) • Part of ISO standards, new to ANSI/NISO Nurses Health administrators Nurse administrators Nurse administrators Finance Careers Accounting Accounting Copyright © 2009 - Access Innovations, Inc. © 2012. Access Innovations, Inc. All Rights Reserved.
  • 28. Generic relationship test – 1 • Both terms in same fundamental category • “All-and-some” test Rodents SOME ALL Squirrels Pests SOME NOT ALL Squirrels Inheritance or inclusion – what’s true of the parent (BT) is true for all children (NTs) © 2012. Access Innovations, Inc. All Rights Reserved.
  • 29. Generic relationship test – 2 Rodents Squirrels Pests  ALL squirrels are rodents x NOT ALL squirrels are pests x NOT ALL pests are rodents © 2012. Access Innovations, Inc. All Rights Reserved.
  • 30. Equivalence relationship • Preferred Term – Thesaurus term and valid for indexing – Thesaurus notation: USE • Non-Preferred Term – Not valid for indexing – An alias or imposter – Entry point, directs user to Preferred Term – Thesaurus notation: UF or NPT Spiders Plant pathology UF Arachnids USE Phytopathology © 2012. Access Innovations, Inc. All Rights Reserved.
  • 31. Equivalence – when to use • Synonyms, slang, quasi-synonyms • Scientific and trade names – Ibubrofen UF Motrin™ • Lexical variants – Fiber optics UF Fibre optics – Mouse UF Mice • Upward posting of narrow concepts not specified in taxonomy or thesaurus – Social class UF Elite, Middle class, Working class Get equivalent terms from search logs, brainstorming… © 2012. Access Innovations, Inc. All Rights Reserved.
  • 32. Associative relationship • Related Terms (RTs) – cousins • “…terms related conceptually but not hierarchically, and are not part of an equivalence set” (i.e. not synonyms) • Both valid for indexing • Reciprocal relationship with each other • Expands user’s awareness, reflects thesaurus coverage of unanticipated areas • Main basis for the ontology • 14 main options offered in Z39.19 © 2012. Access Innovations, Inc. All Rights Reserved.
  • 33. Scope Notes (SN) • Indicate meaning of the term in the context of this thesaurus, for this audience – Stress – Mental, Psychological, Physiological • Could be the definition or glossary • Indicate any restriction in meaning • Indicate range of topics covered • Provide direction for indexers; for terms often confused, may suggest an alternative term • Use as needed – may not be for every term • Use a style guide • Be concise © 2012. Access Innovations, Inc. All Rights Reserved.
  • 34. Stating the terms • Term format • Grammatical issues • Singular and plural forms • Spelling • Abbreviations and acronyms • Capitalization • Other punctuation • Consistency © 2012. Access Innovations, Inc. All Rights Reserved.
  • 35. Term format • KISS – Keep it short and simple – 1-2-3 words – Effect on search – Pre- and Post-Coordination • Establish a policy – follow Chicago Manual of Style • Grammatical issues – Nouns and noun phrases – Verbs  Gerunds – Adjectives - no – Adverbs - no – Initial articles – no © 2012. Access Innovations, Inc. All Rights Reserved.
  • 36. Compound terms – nope! • “Terms in a thesaurus should represent simple or unitary concepts…” (ISO standard) • “Compound terms should be factored (split) into simple elements…” (ANSI/NISO standard) • Term phrases are okay (bigrams) – Adjective-Noun – American history • Two concepts combined are not – Aromatherapy for bloating © 2012. Access Innovations, Inc. All Rights Reserved.
  • 37. Pre and post coordinate terms • Pre coordinates – two concepts – Subject headings – Library of Congress • American history – Civil War – Back of the book – Put together in advance by the publisher • Post Coordinate – Taxonomy terms – Single concept – Put together by the user / searcher © 2012. Access Innovations, Inc. All Rights Reserved.
  • 38. So far you’ve got • Hierarchy – Broader and Narrower Terms – Polyhierarchies when needed • Preferred/Non-Preferred Terms – Equivalence relationships • Related Terms – Associative relationships • Scope Notes • Complete term records – Correct term format © 2012. Access Innovations, Inc. All Rights Reserved.
  • 39. Review, edit, test, edit, use, edit, and maintain, i.e. edit • Review • Edit and maintain – Users – Add term – Expert reviewers – Change existing term • Test – Change term status – Index 500+ documents – Delete term (more for variable writing – Add term relationship style; fewer for strict style) – Delete term relationship – Monitor search log – Add/modify Scope Note – Change overall structure Consider automated / assisted indexing software © 2012. Access Innovations, Inc. All Rights Reserved.
  • 40. Subject Matter Experts • Work first from the literature • Establish literary warrant for terms • Someone else do the clerical work • Differentiate the lexicography work – From the Subject Matter expert work • Let SMEs do the review and tailoring • Expert review ensures the proper term use and application • Advisory Board…advisable! © 2012. Access Innovations, Inc. All Rights Reserved.
  • 41. More Details  Polyhierarchies  Facets © 2012 Hedden Information Management
  • 42. Polyhierarchies Term Term Child Child Child Child Term 1 Term 2 Term 1 Term 2 Grand- Grand- Grand- Grand- Grand- Grand- child 1 child 2 child 1 child 2 child 3 child 4 Hierarchy Polyhierarchy © 2012 Hedden Information Management
  • 43. Polyhierarchies  A term has a polyhierarchy if it has more than one broader term.  Polyhierarchy is permitted if the hierarchical relationship is valid in both/all cases  Remember “All-and-Some” test for each generic hierarchical relationship © 2012 Hedden Information Management
  • 44. Polyhierarchies  Based on generic relationship Professions Motor vehicles Musicians Educators Cars Trucks Music Teachers Light trucks © 2012 Hedden Information Management
  • 45. Polyhierarchies  Based on different kinds of hierarchical relationships/ different means of categorizing (less common) Bodies United of Water States Lakes Utah Great Salt Lake © 2012 Hedden Information Management
  • 46. Polyhierarchy - Pluses Polyhierarchy is useful when…  It is obviously logical for select terms (cross-overs/hybrids, e.g. Music teachers or Light Trucks)  It is indicated by different stakeholder views  Indexers/taggers browse the taxonomy hierarchically  End-user testing/input (e.g. card-sorting) indicates users are split as to where in the hierarchy an item belongs © 2012 Hedden Information Management
  • 47. Polyhierarchy - Pluses Retail website Sports taxonomy case study example: case study example: Health & Fitness Back Exercises › Portable Fitness Electronics › Dead Lifts › Fitness GPS Watches Hamstring Exercises Car, Marine & GPS › Dead Lifts › GPS Navigation › Handheld GPS › Fitness GPS Watches © 2012 Hedden Information Management
  • 48. Polyhierarchy - Minuses Polyhierarchy is not so good when…  It violates hierarchical relationship standards  It becomes excessive, perhaps more common than mono- hierarchies  It is the result of different kinds of a categorization, and the presence of different kinds of categorization is confusing  It is a small taxonomy and the user doesn’t need or expect polyhierarchy © 2012 Hedden Information Management
  • 49. Polyhierarchy - Minuses Problems with excessive polyhierarchies:  Familiar tree structure is lost. Users cannot see the logical hierarchy.  Users spend too much time clicking through categories. © 2012 Hedden Information Management
  • 50. Polyhierarchy - Minuses Logical polyhierarchies, if done consistently, could become extensive. Example: creating polyhierarchies for products based on different classifications Glass Products Tableware Balls Soccer Equipment Wine Glasses Soccer Balls © 2012 Hedden Information Management
  • 51. Polyhierarchy - Minuses Multiple, potentially confusing categorizations:  Place names in hierarchies for both geographic location and for place type  Products in hierarchies for both material and for use  Physical exercises in hierarchies for both body part and purpose/type (strength, endurance, etc.)  “It’s OK, we can have polyhierarchies” This is not always the best solution.  Maybe facets should be used instead. © 2012 Hedden Information Management
  • 52. Polyhierarchies - Cases Violating hierarchical relationship standards  Might be OK in some cases in some taxonomies  But avoid overuse in polyhierarchies Computers & Tablets Case study example: Laptop & Netbook Computers  Accessories as a narrower term Tablets, iPads & E-Readers Desktop & All-in-One Computers to a product category Monitors  Services as a narrower term Mice & Keyboards to a product category Printers Hard Drives & Storage Computer Memory Video Cards & PC Components Networking & Wireless Software Computer Accessories Computer Setup & Services © 2012 Hedden Information Management
  • 53. Polyhierarchies - Cases Violating hierarchical relationship standards within limits Computers & Tablets Laptop & Netbook Computers PC Laptops MacBooks Chromebooks Netbooks All Netbooks Netbook Cases Computer Setup & Services Not OK Laptop Accessories Computer Setup & Services OK Desktop & All-in-One Computers All-in-One Computers Towers Only Desktop Packages Computer Setup & Services OK © 2012 Hedden Information Management
  • 54. Polyhierarchies - Cases Do not create a polyhierarchy to both a “parent” and a “grandparent.” Cameras Grandparent of Digital SLR Cameras Digital Cameras Parent of Digital SLR Cameras Digital SLR Cameras © 2012 Hedden Information Management
  • 55. Polyhierarchies - Cases Might be better not to have polyhierarchies when the taxonomy is small and the number of top-level categories are few Case study: Client management documents of a financial services company has 114 topical terms categorized with just five broader terms:  Account Information  Client Information  Client Status  Disclosures & Notifications  Approvals/Guidance Decided against polyhierarchies. Reason: Repeat users can memorize the small hierarchy. They don’t expect polyhierarchy here. © 2012 Hedden Information Management
  • 56. Polyhierarchies - Conclusions Some is good. More isn’t necessarily better.  Polyhierarchies are best for isolated terms that can fall into two categories.  Polyhierarchies can become too many in cases of overlays of two different categorization methods for numerous terms. (Facets may be better.)  Polyhierarchies are useful, no matter how extensive, in term-focused thesauri  Polyhierarchies should be more limited in fully displayed taxonomies © 2012 Hedden Information Management
  • 57. Polyhierarchies - Exercise Propose two broader terms for each:  Hotel managers  Printers  Fish  Egypt  Bill Gates © 2012 Hedden Information Management
  • 58. Facets  For serving faceted classification, which allows the assignment of multiple classifications to an object  A “dimension” of a query; a type of concept  Intended for searching with multiple terms in combination (post-coordination), one from each facet  Can be for topics or for named entities, but generally not both  Reflect the domain of content  A subset of metadata fields © 2012 Hedden Information Management
  • 59. Facets Faceted Classification Mathematician/librarian S.R. Ranganathan (1920s) developed as an alternative to the Dewey Decimal System for books: “Colon Classification” 1. Personality – topic or orientation 2. Matter – things or materials 3. Energy – actions 4. Space – places or locations 5. Time – times or time periods © 2012 Hedden Information Management
  • 60. Facets Facets are suitable for:  Structured data with discernable metadata fields or database records  Homogeneous data with similar types of characteristics (e.g. products in an e-commerce site) Example types of facets:  For products  category, brand, size, color, price range, features  For people  name, job title, gender, birth year, location, department  For reports  author, subject, audience, document type, language © 2012 Hedden Information Management
  • 61. Facets For Web sites: For enterprise taxonomies: Rosenfeld and Morville, Patrick Lambe, Information Architecture Organising Knowledge  Topic  People and organizations  Product  Things and parts of things  Document type  Activity cycles  Audience  Locations  Geography  Price © 2012 Hedden Information Management
  • 62. Facet Examples 1. Shoebuy.com - advanced search http://www.shoebuy.com/s.jsp/r_as 2. My Recipes http://search.myrecipes.com 3. Microbial Life Educational Resources http://serc.carleton.edu/microbelife/resources © 2012 Hedden Information Management
  • 63.
  • 64. © 2012 Hedden Information Management
  • 65. My Recipes © 2012 Hedden Information Management
  • 66.
  • 67. © 2012 Hedden Information Management
  • 68. Facets & Hierarchies Combining Facets and Hierarchies 1. Have hierarchies within facets 2. Start with hierarchical categories and then limit further with facets © 2012 Hedden Information Management
  • 69. Facets & Hierarchies 1. Hierarchies within facets: indented display World Bank documents advanced search http://documents.worldbank.org/curated/en/docadvancesearch © 2012 Hedden Information Management
  • 70.
  • 71. Facets & Hierarchies 2. Hierarchies of topics, then facets to narrow results: ThomasNet business directory http://ps.thomasnet.com/productsearch Buzzillions product reviews http://www.buzzillions.com Amazon.com books browse http://www.amazon.com © 2012 Hedden Information Management
  • 72. Taxonomy Structures: Hierarchies One level per web page Yahoo directory http://search.yahoo.com/dir ThomasNet browse http://www.thomasnet.com/browse
  • 73. © 2012 Hedden Information Management
  • 74.
  • 75.
  • 76. Buzzillions © 2012 Hedden Information Management
  • 77.
  • 79. Facets - Conclusions Advantages  Supports more complex search queries by users  Allows users to control the search refinement, narrowing or broadening in any manner or order Disadvantages  Only suitable for somewhat structured, unified type of content that share the same multiple facets  Might not support multiple terms selected at once from the same facet  Often hidden from users under “Advanced Search”  Requires investment of thorough (multifacted) indexing/tagging © 2012 Hedden Information Management
  • 80. Facets - Conclusions Facet Design Tips  Number of facets: 4-8, with 5-6 as ideal  Facets listed in logical, not alphabetical order  Number of terms per facet: 2-25  Ideally not much more than can be viewed in a scroll box  If the list is obvious (US states), then more is OK.  Exception can be made for hierarchical “Topics” facet  If <12 terms, then a logical display order If >12 terms, then alphabetical  A two-level hierarchy (indented) within a facet is possible © 2012 Hedden Information Management
  • 81. Facets - Exercise Designate a set of 4-7 facets for a tour operator web site selling vacation packages. © 2012 Hedden Information Management
  • 82. • Designed to enhance understanding and retention of the vocabulary concepts necessary for creating a taxonomy, ontology, thesaurus, or controlled vocabulary. • Game supplies: – 1 Deck of Orange Question and Challenge Cards – 1 Deck of Green Answer Cards • Game setup: – Shuffle the deck of Green Answer cards, – Deal the entire deck to the players. – Shuffle the deck of Orange Question and Challenge cards – Place them facedown in a pile in the middle of the table so that all players can reach the pile. • Reinforce what you just heard! • Have fun! © 2012. Access Innovations, Inc. All Rights Reserved.
  • 83. 1. Play moves to the left of the dealer 7. Discussion among the players to arrive at the 2. Draw a card from the top of the Orange cards. correct answer is permissible and encouraged! Read it aloud to all of the players. 8. If players do not arrive at a consensus 3. The player who read the card says out loud regarding the correct answer, the Orange what they think the answer is. Question and Challenge card may be returned 4. Each player looks at the Green Answer cards to the bottom of the pile, and play passes to in their hand. the person to the left of the player who drew the previous card. 1. If they have the correct answer to the Question or Challenge, they show their 9. When all of the Orange Question and Challenge cards have been drawn, read aloud, card to everyone at the table. and matched with their Green Answer cards, 2. If everyone agrees that the answer is the game ends. correct, the player holding the correct 10. If there are any Orange Question and answer card gives it to the player who Challenge cards remaining to which players read the Question or Challenge card. cannot agree on an answer, players may 5. The player places their associated pair of consult their notes or ask the session speaker. cards – one Orange Question and Challenge card and one Green Answer card – face up on the table in front of them. 6. Play passes to the person who held the correct Green Answer card in their hand. Play continues as in step 2 above. © 2012. Access Innovations, Inc. All Rights Reserved.
  • 84. Implementation and applications • Adding the terms to the information objects • Search and other applications • Taxonomy use cases – implementation • Opportunities and Obstacles • 30 minutes © 2012. Access Innovations, Inc. All Rights Reserved.
  • 85. Parts of the puzzle • The taxonomy – The words to use – In the order you want the users to browse • Applications – Search, CMS, SharePoint etc • Implementation / actions – Making the links – Adding terms to information objects • Most people confuse the parts and they act very differently © 2012. Access Innovations, Inc. All Rights Reserved.
  • 86. The Workflow Fully integrated with MOSS Build Create Gather Tag and Put in search user source create database inverted interface data metadata with tags index Client Data Automatic Summarization Full Text Search HTML, PDF, Machine Aided Presentation Data Feeds, Indexer Layer etc. (M.A.I.™) Search Database Software Increases Inline Tagging Repository accuracy Client Browse by Subject Client Taxonomy taxonomy Metadata and Auto-completion Entity Extractor Broader Terms Narrower Terms Thesaurus Related Terms Master © 2012. Access Innovations, Inc. All Rights Reserved.
  • 87. Adding terms to information objects • Part of the record – XML – MARC • A relational table pointing the terms to a record ID number (Secondary key) • Adding data to the HTML – META NAME KEYWORD Element • Many other options © 2012. Access Innovations, Inc. All Rights Reserved.
  • 88. Part of the record - XML • Added as an element in the XML record • Need an element to put the data in – <Taxonomy Term> • Capture the terms when creating the records © 2012. Access Innovations, Inc. All Rights Reserved.
  • 89. Editorial Workflow Integration Author Submission Module The author fills in the data to the document template, attaching images and graphs as necessary An API calls Data Harmony and generates a list of indexing terms based on the content © 2012. Access Innovations, Inc. All Rights Reserved.
  • 90. Editorial Workflow Integration Author Submission Module Authors review the indexing and may change it Content is stored into a data repository as HTML, XML, etc. © 2012. Access Innovations, Inc. All Rights Reserved.
  • 91. In the HTML record • Makes it crawl able for the Internet • Used in CMS applications – Content Management Systems • Add to the HTML – Manually – In Dreamweaver – In your CMS like Extron • Author Submissions Example • Do the same with SharePoint © 2012. Access Innovations, Inc. All Rights Reserved.
  • 92. META NAME “KEYWORDS” © 2012. Access Innovations, Inc. All Rights Reserved.
  • 93. In Relational Database Table • Primary key – the record • Secondary key all the metadata – Like taxonomy terms – Like author – Like publication date • Used in Oracle, SQL, etc – Need filed to put the taxonomy data in • Supports “Faceted Search” – Each item in a separate field or element or table © 2012. Access Innovations, Inc. All Rights Reserved.
  • 94. Relational database diagram © 2012. Access Innovations, Inc. All Rights Reserved.
  • 95. Using taxonomies in applications • Improve search • In “indexing” or categorizing, • Subject browsing as subject metadata • Mobile intelligence • In content management • Targeted resources based systems on subject or user role • In SharePoint • Link to society resources • In mashups • Author submission module • In social networking sites • Author authority database • In author tagging • Expert reviewer • In filtering data – e.g., spam identification filters and RSS feeds • Member profiles • In web crawlers • Data visualization • Social media - community • More like this © 2012. Access Innovations, Inc. All Rights Reserved.
  • 96. Why does search fail? • Most large organizations have 5 search softwares – All disappointing and on the shelf • Inconsistent results • Unclear path to results • Lack of single unified clear consistent vocabulary • Not tied to data governance – Taxonomy – Other metadata © 2012. Access Innovations, Inc. All Rights Reserved.
  • 97. Parts of Search • Search software – Inverted Index – Search algorithms • Presentation layer – Search box – Autocompletion – Related and narrower terms – Hierarchical display © 2012. Access Innovations, Inc. All Rights Reserved.
  • 98. Sample DOCUMENT Outline of Presentation 1 Define key terminology 2 Thesaurus tools Creating – Features an – Functions Inverted 3 Costs File Index – Thesaurus construction – Thesaurus tools 4 Why & when? © 2012. Access Innovations, Inc. All Rights Reserved.
  • 99. Simple inverted file index The terms from the “outline” & key 1 of 2 outline 3 presentation 4 terminology construction thesaurus costs tools define when features why functions © 2012. Access Innovations, Inc. All Rights Reserved.
  • 100. Complex inverted file index Placement location key - L2, P2, H & - Stop of - Stop 1 - Stop outline - L1, P1, T 2 - Stop presentation - L1, P3, T 3 - Stop terminology - L2, P3, H 4 - Stop thesaurus - (1) - L3, P1, H construction - L7, P2, SH (2) - L7, P1, SH costs - L6, P1, H (3) - L8, P1, SH define - L2, P1, H tools - (1) - L3, P2, H features - L4, P1, SH (2) - L8, P2, SH functions - L5, P1, SH when - L9, P3, H why - L9, P1, H © 2012. Access Innovations, Inc. All Rights Reserved.
  • 101. Improve search www.mediasleuth.com Auto-completion using the taxonomy Guide the user Navigate the full taxonomy “tree” BROWSE © 2012. Access Innovations, Inc. All Rights Reserved. 2011.
  • 102. Subject browsing © 2012. Access Innovations, Inc. All Rights Reserved. 2011.
  • 103. Targeted resources based on subject or user role CONFIDENTIAL © 2012. Access Innovations, Inc. All Rights Reserved.
  • 104. Linked data CME Activity on Topic A Upcoming Other Journal Conference Articles on on Topic A Topic A Job Posting Journal for Expert Article on on Topic A Topic A Grant Available for Podcast Interview Researchers with Researcher Working on Topic A Working on Topic A Author Networks Social Networking © 2012. Access Innovations, Inc. All Rights Reserved.
  • 105. Link to society resources Cancer Epidemiology Biomarkers & Prevention Related Press Releases •How What and How Much We Eat (And Drink) Affects Our Vol. 12, 161-164, Risk of Cancer February 2003 •Novel COX-2 Combination Treatment May Reduce Colon © 2003 American Association for Cancer Research Cancer Risk Combination Regimen of COX-2 Inhibitor and Fish Oil Causes Cell Death Short Communications •COX-2 Levels Are Elevated in Smokers Alcohol, Folate, Methionine, and Risk of Incident Breast Cancer in the American Cancer Society Cancer Prevention Related AACR Workshops and Conferences •Frontiers in Cancer Prevention Research Study II Nutrition Cohort •Continuing Medical Education (CME) Heather Spencer Feigelson1, Carolyn R. Jonas, Andreas S. •Molecular Targets and Cancer Therapeutics Robertson, Marjorie L. McCullough, Michael J. Thun and Related Meeting Abstracts Eugenia E. Calle Department of Epidemiology and Surveillance •Association between dietary folate intake, alcohol intake, and methylenetetrahydrofolate reductase C677T and A1298C Research, American Cancer Society, National Home Office, polymorphisms and subsequent breast Atlanta, Georgia 30329-4251 •Folate, folate cofactor, and alcohol intakes and risk for colorectal adenoma •Dietary folate intake and risk of prostate cancer in a large Recent studies suggest that the increased risk of breast cancer prospective cohort study associated with alcohol consumption may be reduced by adequate folate intake. We examined this question among Related Education Book Content 66,561 postmenopausal women in the American Cancer Society Related Working Groups Think Tank Report Oral Contraceptives, Postmenopausal Hormones, •FinancePrevention Study II NutritionRelated Think Tank Report Cancer Cohort. and Breast Cancer •Charter Content Physical Activity and Cancer •Molecular Epidemiology Webcasts Hormonal Interventions: From Adjuvant Therapy to Related Awards Related Webcasts Breast Cancer Prevention •AACR-GlaxoSmithKline Clinical Cancer Research Scholar Awards •ACS Award •Weinstein Distinguished Lecture © 2012. Access Innovations, Inc. All Rights Reserved.
  • 106. Authors at a place © 2012. Access Innovations, Inc. All Rights Reserved.
  • 107. Member profile tagging User pastes or uploads CV Button to auto- extract taxonomy attributes © 2012. Access Innovations, Inc. All Rights Reserved. 2011.
  • 108. User uploads a document to SharePoint space Adding terms to SharePoint Before uploading to Data Harmony SharePoint server, the automatically attaches EventHandler sends the indexing terms before document to Data uploading to MOSS Harmony. TaxoTerm Server Microsoft Data Harmony Returns subject SharePoint (M.A.I.) metadata Server 2010 108 © 2012. Access Innovations, Inc. All Rights Reserved.
  • 109. SharePoint 2010 only shows 10 lines of the taxonomy This add on makes it all viewable 109 © 2012. Access Innovations, Inc. All Rights Reserved.
  • 110. Taxonomies added in search example Core Architectural Components Administrator’s Dashboard FAST MANAGEMENT API Web WEB SEARCH Content CRAWLER SERVER Vertical Pipeline QUERY API Query Applications FILE Pipeline PROCESSOR Files, TRAVERSER QUERY Documents CONTENT API Portals DATABASE PROCESSOR DOCUMENT Databases CONNECTOR Index DB Results Custom EMAIL FILTER Alerts Front-Ends Email, Groupware CONNECTOR SERVER Mobile Search harmony Custom Content CUSTOM Devices Applications Push CONNECTOR Agent DB MAIstro Use taxonomy terms here Data Harmony Governance API © 2012. Access Innovations, Inc. All Rights Reserved.
  • 111. Autosuggestion of taxonomy terms Allow for manual review of auto- Populate tagging for Keywords, quality Descriptors, assurance. Indexing terms, etc. © 2012. Access Innovations, Inc. All Rights Reserved.
  • 112. More Innovations • Link topic to article to author to event • Make visual links within domain • Enable authors to submit and categorize conference submissions • Create author authority database linking to co- authors, topics, locations, etc. • Create expert reviewer database • Create member profiles with alternate names, publications, tagged by topic • Visualize data and domain distribution • Display interest connections in social network • Deliver accurate targeted information through mobile applications • Etc. © 2012. Access Innovations, Inc. All Rights Reserved.
  • 113. Taxonomy standards • Z39.19 (2005) Controlled Vocabularies • BS 8723 Parts 1 – 5 • ISO25964 Parts 1 - 2 • TAG 37 and 46 standards • SKOS - Simple Knowledge Organization System • OWL - Web Ontology Language • AND more! © 2012. Access Innovations, Inc. All Rights Reserved.
  • 114. IT is often Fire, Ready, Aim! • Choose the hardware • Choose the software • Decide on the format • Convert the data • Fix the data • Tack on a taxonomy • Ignore the standards © 2012. Access Innovations, Inc. All Rights Reserved.
  • 115. Change to Ready, Aim, Fire! • Follow the data • Look at the data, format and content • Design taxonomy for data • Leverage the standards • Use taxonomy to tag data • Choose search and repository software for data • Load the data into the system • Keep your eye on the target © 2012. Access Innovations, Inc. All Rights Reserved.
  • 116. Summary • We covered the basics • We talked about the implementation • Application of the terms to your content • We reinforced the learning with activities • No go hear the case studies of the next two days! © 2012. Access Innovations, Inc. All Rights Reserved.
  • 117. Questions? Heather Hedden Marjorie M.K. Hlava Taxonomy Consultant President Hedden Information Management Access Innovations, Inc. www.hedden-information.com www.accessinn.com www.accidental-taxonomist.com www.data-harmony.com heather@hedden.net mhlava@accessinn.com 978-467-5195 505-998-0800

Notas del editor

  1. e.g. Account Information Usage could go into 2, but we keep in just Disclosures &amp; Notifications
  2. e.g. Account Information Usage could go into 2, but we keep in just Disclosures &amp; Notifications
  3. e.g. Account Information Usage could go into 2, but we keep in just Disclosures &amp; Notifications
  4. Thanks to Helen Atkins of AACR for this illustration.The real power of this is that the links can all go in all directions, so we take advantage of having the user’s attention regardless of how they step into our “web”