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Taxonomy & Metadata / Information
     Architecture Consulting




                                        The LIS Foundations of IA

                                              A Presentation Made at the
                                              University of Arizona SIRLS
                                                 Amy J. Warner, Ph.D.

                                    Amy J. Warner, Ph.D.
Who I Am
 Amy J. Warner, Ph.D. (warneramyj@yahoo.com)
• Independent consultant in taxonomy & metadata
  design and information architecture
• Formerly Thesaurus Design Specialist with Argus
  Associates, Inc.
• Faculty member in library and information science at
  University of Wisconsin-Madison (1985-1988) and
  University of Michigan (1989-2000)
• Co-author of Information Retrieval Today
• Fortune 500 consulting
                                                         2
Outline
• What is IA?
  – IA defined
  – Why IA is important
  – Basic concepts and building blocks of IA
• IA in context
  – IA and users
  – IA and business context

                                               3
Definition of IA

The art and science of structuring and organizing
information systems to help people achieve their
goals.

The application of principles and methods of library
and information science (LIS) to the design of
corporate intranets and websites.



                                                       4
Why Is IA Important
• Costs
  – To the user
     • Finding information (time, # of clicks,
       frustration, precision)
     • Not finding information (recall, frustration)
  – To the organization (lost revenue,
    competition)
• Value of learning (related products,
  services, projects, people)
                                                       5
Why Is IA Important
Web Site Statistics

• Wasted expense: most sites will waste between
  $1.5M and $2.1M on redesign next year
• Forfeited revenue: poorly architected retail sites are
  underselling by as much as 50%
• Lost customers: the sites we tested are driving away
  up to 40% of repeat traffic
• Eroded brand: people who have a bad experience
  typically tell 10 others
                               Forrester Research
                               Why Most Web Sites Fail (Sept. ‘96)

                                                                     6
Why Is IA Important
  Intranet Statistics
• Employees spend 35% of productive time searching for
  information online (Working Council for Chief Information
  Officers)
• Managers spend 17% of their time (6 weeks a year) searching
  for information (Information Ecology, Thomas Davenport &
  Lawrence Prusack)
• Sun’s usability experts calculated that 21,000 employees were
  wasting an average of six minutes per day due to inconsistent
  intranet navigation structures. When lost time was multiplied by
  staff salaries, the estimated productivity loss exceeded $10M
  per year (Web Design and Development, Jakob Nielsen [Sept.
  1997)
                                                                     7
Why IA Fails
• ‘Internet time’
• Cultural issues--developers, librarians,
  managers
• Project management
• Underestimating the problem
  – Thinking it’s easy
  – Good IA is ‘invisible’

                                             8
Why IA Is Hard
• Expectations
    – Underestimating time/cost
    – Underestimating difficulty of task
•   Diversity: goals, users, authors
•   Heterogeneous content / objects
•   Relevance is subjective and situational
•   Organization & language are
    ambiguous
                                              9
Making IA a Manageable
           Problem
• Identify and address the major needs of
  major audiences
• Remove old, outdated content (ROT)
• Enable precision
• Design for the 80/20 rule



                                        10
Basic Concepts/Components
               of IA
•   Organization systems
•   Navigation systems
•   Labeling systems
•   Searching systems




                                11
Organization Systems
• Organization scheme
  – defines the shared characteristics of content items and
    influences the logical grouping of those items
  – identify through content inventory
  – types
      • exact--divide information into well-defined and mutually
        exclusive groups (alphabetical, chronological, geographical)
      • ambiguous--divide information into categories that are not
        exactly defined or necessarily mutually exclusive (topical, task-
        oriented, audience specific, metaphor driven




                                                                        12
Organization Scheme, cont.
• Organization structure
   – defines the principle ways in which users can navigate
   – often can be determined through user research
   – models
      • hierarchy--top down
          – polyhierarchies
          – depth vs. breadth
      • hypertext--nonlinear
          – chunking and linking
      • databases--relational



                                                              13
Navigation Systems
• Hierarchical navigation systems--the information hierarchy is the
  primary navigation system
• Global navigation systems--often enables greater vertical and
  lateral navigation within a site
• Local navigation systems--often used for sub-sites
• Ad hoc navigation--relationships between individual content
  items or groups of content items; usually embedded within a
  page
• Mechanisms for producing navigation systems
    –   navigation bars
    –   frames
    –   pull-down menus
    –   tables of content, indexes, site map, guide pages
                                                                 14
Vanguard.com Navigation




                          15
Vanguard.com Navigation




                          16
GlobalVolunteers.com Navigation




                              17
Labeling Systems
•   Synonymy and ambiguity
•   Labels as links
•   Labels and index/search terms
•   Labels as headings on pages
•   Sources for labeling systems
    – other web sites
    – controlled vocabularies outside, inside the
      organization
    – content
    – users and experts
                                                    18
Subject/Contextual
Clarification of Labels




                          19
Ambiguity of Index Terms




                           20
Synonymy of Labels on Same
          Page




                         21
Inconsistency of Labeling
     Across Pages




                            22
23
Searching Systems
• Support different types of search
   – comprehensiveness vs accuracy
   – exploration
   – existence
• Support different search mechanisms
   – Natural language vs. controlled vocabulary
   – Searching fields
   – Retrieval models (boolean, statistical, etc.)
• Integrate search and browse


                                                     24
Integration of Search and
          Browse




                            25
Amazon.com Advanced
      Search




                      26
IA ‘Generations’

• ‘Brochureware’

• Pages served from database

• Metadata-driven website

               CMS


                               27
An Ecological Approach
              Business
              Context




    Content              Users




                                 28
IA From Top to Bottom
Top-Down                      Bottom-Up
   portal                           sub-site
   strategy                         objects
   hierarchy                        metadata
   primary path                     multiple paths
                          portal

                                            Object X
                                            Name:
                                            Product Category:
                                            Topic:
                                            Stale Date:
                                            Author:
                                            Security:



              local subsites
        (HR, Engineering, R&D…)
                                                                29
Where Does IA Fit?
            The Elements of
            User Experience
                  Jesse James Garrett




                                  30
Why Metadata-Driven Web
         Sites
              Users              Example
                                 Personal Digital Assistant

                                 Synonyms
                                       Handheld Computer
                                 "Alternate" Spellings
                                       Persenal Digitel Asistent
                                 Abbreviations / Acronyms
      Communication Chasm              PDA
                                 Broader Terms
                                       Wireless, Computers
                                 Narrower Terms
                                       PalmPilot, PocketPC
                                 Related Terms
                                       WindowsCE, Cell Phones




    Documents and Applications
                                                          31
Epicurious.com




                 32
Epicurious.com Facets
Main Ingredients
Beans, Beef, Berries, Cheese, Chocolate, Citrus,
                                                     Season/Occasion
Dairy, Eggs, Fish, Fruits, Garlic, Ginger, Grains,    Christmas, Easter, Fall, Fourth of July,
Greens, Herbs, Lamb, Mushrooms, Mustard, Nuts,        Hanukkah, New Years, Picnics, Spring,
Olives, Onions, Pasta, Peppers, Pork, Potatoes,       Summer, Superbowl, Thanksgiving,
Poultry, Rice, Shellfish, Tomatoes, Vegetables        Valentine's Day, Winter


Cuisine
African, American, Asian, Caribbean, Eastern         Course/Dish
European, French, Greek, Indian, Italian, Jewish,
                                                      Appetizers, Bread, Breakfast, Brunch,
Mediterranean, Mexican, Middle Eastern,
                                                      Condiments, Cookies, Desserts, Hors
Scandinavian, Spanish
                                                      D'oeuvres, Main Dish, Salads, Sandwiches,
                                                      Sauces, Side Dish, Snacks, Soup, Vegetables
Preparation Method
Advance, Bake, Broil, Fry, Grill, Marinade,
Microwave, No Cook, Poach, Quick, Roast,
Sauté, Slow Cook, Steam, Stir Fry




                                                                                                 33
Epicurious, First Facet   Browse > Picnics




                                  34
Epicurious, Second Facet
                      Browse > Picnics
                      > Poultry




                                35
Search Term

                          Bitpipe.com
Broader Term

               Narrower Terms                         Related Terms




                                                           36
Bitpipe’s CV
Web Application Software
     BT Internet Application Software
             NT eBusiness Software
                eCommerce Software
                Portal Applications Software
             RT Internet
                Web Applications Architectures
                Web Development Tools
                Webmaster



                                                 37
Contact: Amy J. Warner
         warneramyj@yahoo.com

Questions??




                                38

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Metadata and Taxonomies for More Flexible Information Architecture

  • 1. Taxonomy & Metadata / Information Architecture Consulting The LIS Foundations of IA A Presentation Made at the University of Arizona SIRLS Amy J. Warner, Ph.D. Amy J. Warner, Ph.D.
  • 2. Who I Am Amy J. Warner, Ph.D. (warneramyj@yahoo.com) • Independent consultant in taxonomy & metadata design and information architecture • Formerly Thesaurus Design Specialist with Argus Associates, Inc. • Faculty member in library and information science at University of Wisconsin-Madison (1985-1988) and University of Michigan (1989-2000) • Co-author of Information Retrieval Today • Fortune 500 consulting 2
  • 3. Outline • What is IA? – IA defined – Why IA is important – Basic concepts and building blocks of IA • IA in context – IA and users – IA and business context 3
  • 4. Definition of IA The art and science of structuring and organizing information systems to help people achieve their goals. The application of principles and methods of library and information science (LIS) to the design of corporate intranets and websites. 4
  • 5. Why Is IA Important • Costs – To the user • Finding information (time, # of clicks, frustration, precision) • Not finding information (recall, frustration) – To the organization (lost revenue, competition) • Value of learning (related products, services, projects, people) 5
  • 6. Why Is IA Important Web Site Statistics • Wasted expense: most sites will waste between $1.5M and $2.1M on redesign next year • Forfeited revenue: poorly architected retail sites are underselling by as much as 50% • Lost customers: the sites we tested are driving away up to 40% of repeat traffic • Eroded brand: people who have a bad experience typically tell 10 others Forrester Research Why Most Web Sites Fail (Sept. ‘96) 6
  • 7. Why Is IA Important Intranet Statistics • Employees spend 35% of productive time searching for information online (Working Council for Chief Information Officers) • Managers spend 17% of their time (6 weeks a year) searching for information (Information Ecology, Thomas Davenport & Lawrence Prusack) • Sun’s usability experts calculated that 21,000 employees were wasting an average of six minutes per day due to inconsistent intranet navigation structures. When lost time was multiplied by staff salaries, the estimated productivity loss exceeded $10M per year (Web Design and Development, Jakob Nielsen [Sept. 1997) 7
  • 8. Why IA Fails • ‘Internet time’ • Cultural issues--developers, librarians, managers • Project management • Underestimating the problem – Thinking it’s easy – Good IA is ‘invisible’ 8
  • 9. Why IA Is Hard • Expectations – Underestimating time/cost – Underestimating difficulty of task • Diversity: goals, users, authors • Heterogeneous content / objects • Relevance is subjective and situational • Organization & language are ambiguous 9
  • 10. Making IA a Manageable Problem • Identify and address the major needs of major audiences • Remove old, outdated content (ROT) • Enable precision • Design for the 80/20 rule 10
  • 11. Basic Concepts/Components of IA • Organization systems • Navigation systems • Labeling systems • Searching systems 11
  • 12. Organization Systems • Organization scheme – defines the shared characteristics of content items and influences the logical grouping of those items – identify through content inventory – types • exact--divide information into well-defined and mutually exclusive groups (alphabetical, chronological, geographical) • ambiguous--divide information into categories that are not exactly defined or necessarily mutually exclusive (topical, task- oriented, audience specific, metaphor driven 12
  • 13. Organization Scheme, cont. • Organization structure – defines the principle ways in which users can navigate – often can be determined through user research – models • hierarchy--top down – polyhierarchies – depth vs. breadth • hypertext--nonlinear – chunking and linking • databases--relational 13
  • 14. Navigation Systems • Hierarchical navigation systems--the information hierarchy is the primary navigation system • Global navigation systems--often enables greater vertical and lateral navigation within a site • Local navigation systems--often used for sub-sites • Ad hoc navigation--relationships between individual content items or groups of content items; usually embedded within a page • Mechanisms for producing navigation systems – navigation bars – frames – pull-down menus – tables of content, indexes, site map, guide pages 14
  • 18. Labeling Systems • Synonymy and ambiguity • Labels as links • Labels and index/search terms • Labels as headings on pages • Sources for labeling systems – other web sites – controlled vocabularies outside, inside the organization – content – users and experts 18
  • 20. Ambiguity of Index Terms 20
  • 21. Synonymy of Labels on Same Page 21
  • 22. Inconsistency of Labeling Across Pages 22
  • 23. 23
  • 24. Searching Systems • Support different types of search – comprehensiveness vs accuracy – exploration – existence • Support different search mechanisms – Natural language vs. controlled vocabulary – Searching fields – Retrieval models (boolean, statistical, etc.) • Integrate search and browse 24
  • 25. Integration of Search and Browse 25
  • 26. Amazon.com Advanced Search 26
  • 27. IA ‘Generations’ • ‘Brochureware’ • Pages served from database • Metadata-driven website CMS 27
  • 28. An Ecological Approach Business Context Content Users 28
  • 29. IA From Top to Bottom Top-Down Bottom-Up portal sub-site strategy objects hierarchy metadata primary path multiple paths portal Object X Name: Product Category: Topic: Stale Date: Author: Security: local subsites (HR, Engineering, R&D…) 29
  • 30. Where Does IA Fit? The Elements of User Experience Jesse James Garrett 30
  • 31. Why Metadata-Driven Web Sites Users Example Personal Digital Assistant Synonyms Handheld Computer "Alternate" Spellings Persenal Digitel Asistent Abbreviations / Acronyms Communication Chasm PDA Broader Terms Wireless, Computers Narrower Terms PalmPilot, PocketPC Related Terms WindowsCE, Cell Phones Documents and Applications 31
  • 33. Epicurious.com Facets Main Ingredients Beans, Beef, Berries, Cheese, Chocolate, Citrus, Season/Occasion Dairy, Eggs, Fish, Fruits, Garlic, Ginger, Grains, Christmas, Easter, Fall, Fourth of July, Greens, Herbs, Lamb, Mushrooms, Mustard, Nuts, Hanukkah, New Years, Picnics, Spring, Olives, Onions, Pasta, Peppers, Pork, Potatoes, Summer, Superbowl, Thanksgiving, Poultry, Rice, Shellfish, Tomatoes, Vegetables Valentine's Day, Winter Cuisine African, American, Asian, Caribbean, Eastern Course/Dish European, French, Greek, Indian, Italian, Jewish, Appetizers, Bread, Breakfast, Brunch, Mediterranean, Mexican, Middle Eastern, Condiments, Cookies, Desserts, Hors Scandinavian, Spanish D'oeuvres, Main Dish, Salads, Sandwiches, Sauces, Side Dish, Snacks, Soup, Vegetables Preparation Method Advance, Bake, Broil, Fry, Grill, Marinade, Microwave, No Cook, Poach, Quick, Roast, Sauté, Slow Cook, Steam, Stir Fry 33
  • 34. Epicurious, First Facet Browse > Picnics 34
  • 35. Epicurious, Second Facet Browse > Picnics > Poultry 35
  • 36. Search Term Bitpipe.com Broader Term Narrower Terms Related Terms 36
  • 37. Bitpipe’s CV Web Application Software BT Internet Application Software NT eBusiness Software eCommerce Software Portal Applications Software RT Internet Web Applications Architectures Web Development Tools Webmaster 37
  • 38. Contact: Amy J. Warner warneramyj@yahoo.com Questions?? 38