SlideShare una empresa de Scribd logo
1 de 21
Taxonomy and Metadata 11/24/09 David Champeau - ECM Consultant
Taxonomy and Metadata Definitions Examples Uses Introduction
A taxonomy is A classification scheme Semantic A knowledge map Taxonomies provide the lenses by which we perceive and talk about the world we live in [Classification] is almost the methodical equivalent of electricity- we use it every day, yet often consider it to be rather mysterious. Taxonomy
A taxonomy is a form of classification scheme Designed to group related things together (related not similar) Oranges and apples are in the fruit section Can be informal and ad hoc organize music CDs by genre Can be highly formal and standardized Dewey Decimal System Taxonomy
Taxonomies are semantic Taxonomies in knowledge management are different from formal published classification schemes Formal schemes rely heavily on codes Knowledge management taxonomies provide a fixed vocabulary This vocabulary needs to be meaningful and transparent to ordinary users When content is labeled “Project Kickoff” everybody should know what kind of documents they can expect to find in that category Taxonomy
Taxonomies are semantic They express the relationship between terms In the folder structure PROJECT DOCUMENTSROJECT KICKOFF we immediately recognize that we will find other types of project documents adjacent to the PROJECT KICKOFF folder and we expect that they will be linked to the sequence of stages in the project PROJECT DOCUMENTSROJECT KICKOFF PROJECT DOCUMENTSROJECT REQUIREMENTS PROJECT DOCUMENTSROJECT ARCHITECTURE If you take all the labels in a taxonomy and put them in alphabetical order, you have a controlled vocabulary – a dictionary Taxonomy
A taxonomy is a knowledge map “coup d’oueil” – “cast of the eye” A good taxonomy should enable the user to immediately grasp the overall structure of the knowledge domain The user should be able to accurately anticipate what resources he or she might find where The taxonomy should be comprehensible, predictable and easy to navigate Taxonomy
A taxonomy also acts as a artificial memory device Concepts are located in taxonomy structures and locked in place by association with their neighbors through their classification relationships This affords considerable mnemonic power Taxonomy
Various representations of taxonomies Lists Trees Hierarchies Polyhierarchies Matrices Facets System maps Taxonomy
Taxonomy work Taxonomies are products of work Developing a taxonomy is a project Knowledge management taxonomies need to reflect the working worlds of the organizations they are created for Because those working worlds continue to change, so must our taxonomies Taxonomy work is therefore continuous Taxonomy
Taxonomy and Knowledge Management evolution Paper filing systems Shared drive folder structures Content management systems Initially taxonomies were quite simple, drop down lists of keywords Initially an aid to findability As technology developed, metadata played a wider role in the control and management of content Taxonomy
Definition “Data about data” – Oxford English Dictionary “A collection of structured information about a document or a piece of content” For a document or (work) item of information this means data about the item such as Author, Title, Issue Data and other information. Metadata is usually defined in terms of units called “elements”, “fields”, “attributes” or “properties” Some elements may have “sub-elements” Date may have “date created”, “date approved”, “date published” Metadata may be made mandatory or optional Metadata
Purposes of metadata To identify content Capture fields and distinguish each document from all others Manage content Version numbers, archive date, security and access permissions Retrieval of content Taxonomy topics, subject keywords, document type Connect content to other content Behavioural metadata captured in transaction (i.e. Amazon.com) Business processes Authored by whom? Reviewed by whom and when? Approved by whom and when? Support Records Management Retention periods, disposition cycles Metadata
Standards and Guidelines Dublin Core Metadata Initiative (ISO 15836) Records Management ISO 15489 and 23081 US DoD 5015.2-STD Design Criteria Standard for Electronic Records Management Software Applications Metadata
Dublin Core Example
Enforcing metadata use Items with no metadata? Minimum metadata needed at birth Metadata additions later Keep entries consistent Controlled vocabularies Pick values from lists Select from given options A simple approach The system will hold metadata about items in two main categories Essential (mandatory), to identify and manage the item Optional, the provide more information about the item More on metadata
Clearly metadata has to come from somewhere – and be accurate and useful Making some entries mandatory can help Too many mandatory elements may be seen as a tedious chore Too few mandatory elements may result in little metadata being entered Too many optional metadata entries may also result in little metadata being entered Users need to appreciate the VALUE of filling in the entries, voluntarily Mandatory or Optional?
Metadata sources Document Template System User Multi-media sources Auto-classification and auto-indexing Keyword indexing OCR/ICR Classification software Metadata Sources
Metadata content, however important, is notoriously difficult to acquire from users Before implementing ECM, users just put documents into an electronic folder of their choosing Now you are asking them to make a series of decisions about choosing categories, identifying access restrictions an so on Metadata implemented
Try to assign metadata without user involvement E.g. templates, defaults Users must see value Does it make their job easier? Metadata implemented
David Champeau ECM Consultant champeaudavid@yahoo.com Hope that it was helpful

Más contenido relacionado

La actualidad más candente

Introduction to metadata management
Introduction to metadata managementIntroduction to metadata management
Introduction to metadata managementOpen Data Support
 
DITA and Metadata on an Enterprise Scale
DITA and Metadata on an Enterprise ScaleDITA and Metadata on an Enterprise Scale
DITA and Metadata on an Enterprise ScaleKristen Eberlein
 
Selecting Software for Taxonomy, Thesaurus and Ontology Management
Selecting Software for Taxonomy, Thesaurus and Ontology ManagementSelecting Software for Taxonomy, Thesaurus and Ontology Management
Selecting Software for Taxonomy, Thesaurus and Ontology ManagementHeather Hedden
 
Taxonomy 101: Presented at Taxonomy Boot Camp 2019
Taxonomy 101: Presented at Taxonomy Boot Camp 2019Taxonomy 101: Presented at Taxonomy Boot Camp 2019
Taxonomy 101: Presented at Taxonomy Boot Camp 2019Enterprise Knowledge
 
Enterprise Knowledge - Taxonomy Design Best Practices and Methodology
Enterprise Knowledge - Taxonomy Design Best Practices and MethodologyEnterprise Knowledge - Taxonomy Design Best Practices and Methodology
Enterprise Knowledge - Taxonomy Design Best Practices and MethodologyEnterprise Knowledge
 
Metadata: a library perspective
Metadata: a library perspectiveMetadata: a library perspective
Metadata: a library perspectivejody perkins
 
Taxonomy, ontology, folksonomies & SKOS.
Taxonomy, ontology, folksonomies & SKOS.Taxonomy, ontology, folksonomies & SKOS.
Taxonomy, ontology, folksonomies & SKOS.Janet Leu
 
NORMAS SOBRE ALFABETIZACION EN INFORMACION PARA LA EDUCACION SUPERIOR
NORMAS SOBRE ALFABETIZACION EN INFORMACION PARA LA EDUCACION SUPERIORNORMAS SOBRE ALFABETIZACION EN INFORMACION PARA LA EDUCACION SUPERIOR
NORMAS SOBRE ALFABETIZACION EN INFORMACION PARA LA EDUCACION SUPERIORamalia3636
 
Metadata issues and challenges: Link Data
Metadata issues and challenges: Link DataMetadata issues and challenges: Link Data
Metadata issues and challenges: Link DataAmna Farzand Ali
 
3 25 11 Term Store Best Practices
3 25 11 Term Store Best Practices3 25 11 Term Store Best Practices
3 25 11 Term Store Best Practicespuckmiller3
 
Data-Ed Slides: Best Practices in Data Stewardship (Technical)
Data-Ed Slides: Best Practices in Data Stewardship (Technical)Data-Ed Slides: Best Practices in Data Stewardship (Technical)
Data-Ed Slides: Best Practices in Data Stewardship (Technical)DATAVERSITY
 
Introduction to Controlled Vocabulary
Introduction to Controlled VocabularyIntroduction to Controlled Vocabulary
Introduction to Controlled VocabularyRebecca Thompson
 
Introduction to Metadata
Introduction to MetadataIntroduction to Metadata
Introduction to MetadataJenn Riley
 
Digital library and metadata
Digital library and metadataDigital library and metadata
Digital library and metadataramncsi
 

La actualidad más candente (20)

Introduction to metadata management
Introduction to metadata managementIntroduction to metadata management
Introduction to metadata management
 
Taxonomies for Users
Taxonomies for UsersTaxonomies for Users
Taxonomies for Users
 
DITA and Metadata on an Enterprise Scale
DITA and Metadata on an Enterprise ScaleDITA and Metadata on an Enterprise Scale
DITA and Metadata on an Enterprise Scale
 
Selecting Software for Taxonomy, Thesaurus and Ontology Management
Selecting Software for Taxonomy, Thesaurus and Ontology ManagementSelecting Software for Taxonomy, Thesaurus and Ontology Management
Selecting Software for Taxonomy, Thesaurus and Ontology Management
 
Taxonomy 101: Presented at Taxonomy Boot Camp 2019
Taxonomy 101: Presented at Taxonomy Boot Camp 2019Taxonomy 101: Presented at Taxonomy Boot Camp 2019
Taxonomy 101: Presented at Taxonomy Boot Camp 2019
 
Enterprise Knowledge - Taxonomy Design Best Practices and Methodology
Enterprise Knowledge - Taxonomy Design Best Practices and MethodologyEnterprise Knowledge - Taxonomy Design Best Practices and Methodology
Enterprise Knowledge - Taxonomy Design Best Practices and Methodology
 
Metadata: a library perspective
Metadata: a library perspectiveMetadata: a library perspective
Metadata: a library perspective
 
Metadata: A concept
Metadata: A conceptMetadata: A concept
Metadata: A concept
 
Taxonomy, ontology, folksonomies & SKOS.
Taxonomy, ontology, folksonomies & SKOS.Taxonomy, ontology, folksonomies & SKOS.
Taxonomy, ontology, folksonomies & SKOS.
 
NORMAS SOBRE ALFABETIZACION EN INFORMACION PARA LA EDUCACION SUPERIOR
NORMAS SOBRE ALFABETIZACION EN INFORMACION PARA LA EDUCACION SUPERIORNORMAS SOBRE ALFABETIZACION EN INFORMACION PARA LA EDUCACION SUPERIOR
NORMAS SOBRE ALFABETIZACION EN INFORMACION PARA LA EDUCACION SUPERIOR
 
Taxonomy Governance and Iteration
Taxonomy Governance and IterationTaxonomy Governance and Iteration
Taxonomy Governance and Iteration
 
Metadata issues and challenges: Link Data
Metadata issues and challenges: Link DataMetadata issues and challenges: Link Data
Metadata issues and challenges: Link Data
 
Dublin core Presentation
Dublin core PresentationDublin core Presentation
Dublin core Presentation
 
3 25 11 Term Store Best Practices
3 25 11 Term Store Best Practices3 25 11 Term Store Best Practices
3 25 11 Term Store Best Practices
 
Data-Ed Slides: Best Practices in Data Stewardship (Technical)
Data-Ed Slides: Best Practices in Data Stewardship (Technical)Data-Ed Slides: Best Practices in Data Stewardship (Technical)
Data-Ed Slides: Best Practices in Data Stewardship (Technical)
 
Introduction to Controlled Vocabulary
Introduction to Controlled VocabularyIntroduction to Controlled Vocabulary
Introduction to Controlled Vocabulary
 
1ª aula indexacao 2013
1ª aula indexacao 20131ª aula indexacao 2013
1ª aula indexacao 2013
 
Introduction to Metadata
Introduction to MetadataIntroduction to Metadata
Introduction to Metadata
 
Digital library and metadata
Digital library and metadataDigital library and metadata
Digital library and metadata
 
Data Lake,beyond the Data Warehouse
Data Lake,beyond the Data WarehouseData Lake,beyond the Data Warehouse
Data Lake,beyond the Data Warehouse
 

Similar a Taxonomy And Metadata

Chapter 9Enterprise Content and Record ManagementSt. Rit
Chapter 9Enterprise Content and Record ManagementSt. RitChapter 9Enterprise Content and Record ManagementSt. Rit
Chapter 9Enterprise Content and Record ManagementSt. RitJinElias52
 
Marlabs - Navigation vs Search Final
Marlabs - Navigation vs Search FinalMarlabs - Navigation vs Search Final
Marlabs - Navigation vs Search FinalMarlabs
 
FaceTag - IASummit 2007
FaceTag - IASummit 2007FaceTag - IASummit 2007
FaceTag - IASummit 2007Andrea Resmini
 
Theresa regli bw-3
Theresa regli bw-3Theresa regli bw-3
Theresa regli bw-3R Aunpad
 
FaceTag: Integrating Bottom-up and Top-down Classification in a Social Taggin...
FaceTag: Integrating Bottom-up and Top-down Classification in a Social Taggin...FaceTag: Integrating Bottom-up and Top-down Classification in a Social Taggin...
FaceTag: Integrating Bottom-up and Top-down Classification in a Social Taggin...Andrea Resmini
 
Implementing Semantic Search
Implementing Semantic SearchImplementing Semantic Search
Implementing Semantic SearchPaul Wlodarczyk
 
Folksonomies: a bottom-up social categorization system
Folksonomies: a bottom-up social categorization systemFolksonomies: a bottom-up social categorization system
Folksonomies: a bottom-up social categorization systemdomenico79
 
What Is Taxonomy and Why Is It Useful?
What Is Taxonomy and Why Is It Useful?What Is Taxonomy and Why Is It Useful?
What Is Taxonomy and Why Is It Useful?Theresa Putkey
 
Empowering Search Through 3RDi Semantic Enrichment
Empowering Search Through 3RDi Semantic EnrichmentEmpowering Search Through 3RDi Semantic Enrichment
Empowering Search Through 3RDi Semantic EnrichmentThe Digital Group
 
Henry stewart dam2010_taxonomicsearch_markohurst
Henry stewart dam2010_taxonomicsearch_markohurstHenry stewart dam2010_taxonomicsearch_markohurst
Henry stewart dam2010_taxonomicsearch_markohurstWIKOLO
 
Classification, Tagging & Search
Classification, Tagging & SearchClassification, Tagging & Search
Classification, Tagging & SearchJames Melzer
 
km ppt neew one
km ppt neew onekm ppt neew one
km ppt neew oneSahil Jain
 
Overview of Taxonomies and Artificial Intelligence
Overview of Taxonomies and Artificial IntelligenceOverview of Taxonomies and Artificial Intelligence
Overview of Taxonomies and Artificial IntelligenceEnterprise Knowledge
 
Big Data and Classification
Big Data and ClassificationBig Data and Classification
Big Data and Classification303Computing
 
AMCTO presentation on moving from records managment to information management
AMCTO presentation on moving from records managment to information managementAMCTO presentation on moving from records managment to information management
AMCTO presentation on moving from records managment to information managementChristopher Wynder
 

Similar a Taxonomy And Metadata (20)

Chapter 9Enterprise Content and Record ManagementSt. Rit
Chapter 9Enterprise Content and Record ManagementSt. RitChapter 9Enterprise Content and Record ManagementSt. Rit
Chapter 9Enterprise Content and Record ManagementSt. Rit
 
Marlabs - Navigation vs Search Final
Marlabs - Navigation vs Search FinalMarlabs - Navigation vs Search Final
Marlabs - Navigation vs Search Final
 
FaceTag - IASummit 2007
FaceTag - IASummit 2007FaceTag - IASummit 2007
FaceTag - IASummit 2007
 
FaceTag at IASummit 2007
FaceTag at IASummit 2007FaceTag at IASummit 2007
FaceTag at IASummit 2007
 
Theresa regli bw-3
Theresa regli bw-3Theresa regli bw-3
Theresa regli bw-3
 
User-Driven Taxonomies
User-Driven TaxonomiesUser-Driven Taxonomies
User-Driven Taxonomies
 
FaceTag: Integrating Bottom-up and Top-down Classification in a Social Taggin...
FaceTag: Integrating Bottom-up and Top-down Classification in a Social Taggin...FaceTag: Integrating Bottom-up and Top-down Classification in a Social Taggin...
FaceTag: Integrating Bottom-up and Top-down Classification in a Social Taggin...
 
Hybrid Approaches to Taxonomy & Folksonmy
Hybrid Approaches to Taxonomy & FolksonmyHybrid Approaches to Taxonomy & Folksonmy
Hybrid Approaches to Taxonomy & Folksonmy
 
Implementing Semantic Search
Implementing Semantic SearchImplementing Semantic Search
Implementing Semantic Search
 
Dc2010 fanning
Dc2010 fanningDc2010 fanning
Dc2010 fanning
 
Folksonomies: a bottom-up social categorization system
Folksonomies: a bottom-up social categorization systemFolksonomies: a bottom-up social categorization system
Folksonomies: a bottom-up social categorization system
 
What Is Taxonomy and Why Is It Useful?
What Is Taxonomy and Why Is It Useful?What Is Taxonomy and Why Is It Useful?
What Is Taxonomy and Why Is It Useful?
 
Empowering Search Through 3RDi Semantic Enrichment
Empowering Search Through 3RDi Semantic EnrichmentEmpowering Search Through 3RDi Semantic Enrichment
Empowering Search Through 3RDi Semantic Enrichment
 
Henry stewart dam2010_taxonomicsearch_markohurst
Henry stewart dam2010_taxonomicsearch_markohurstHenry stewart dam2010_taxonomicsearch_markohurst
Henry stewart dam2010_taxonomicsearch_markohurst
 
Classification, Tagging & Search
Classification, Tagging & SearchClassification, Tagging & Search
Classification, Tagging & Search
 
km ppt neew one
km ppt neew onekm ppt neew one
km ppt neew one
 
Overview of Taxonomies and Artificial Intelligence
Overview of Taxonomies and Artificial IntelligenceOverview of Taxonomies and Artificial Intelligence
Overview of Taxonomies and Artificial Intelligence
 
Taxonomy Fundamentals Workshop 2013
Taxonomy Fundamentals Workshop 2013Taxonomy Fundamentals Workshop 2013
Taxonomy Fundamentals Workshop 2013
 
Big Data and Classification
Big Data and ClassificationBig Data and Classification
Big Data and Classification
 
AMCTO presentation on moving from records managment to information management
AMCTO presentation on moving from records managment to information managementAMCTO presentation on moving from records managment to information management
AMCTO presentation on moving from records managment to information management
 

Más de David Champeau

It business processes EA, SA and SOA together
It business processes   EA, SA and SOA togetherIt business processes   EA, SA and SOA together
It business processes EA, SA and SOA togetherDavid Champeau
 
Information management
Information managementInformation management
Information managementDavid Champeau
 
ECM Project Management Basics
ECM Project Management BasicsECM Project Management Basics
ECM Project Management BasicsDavid Champeau
 
Some Basics of an ECM Project
Some Basics of an ECM ProjectSome Basics of an ECM Project
Some Basics of an ECM ProjectDavid Champeau
 
Moving file shares to ibm file net p8 summary
Moving file shares to ibm file net p8 summaryMoving file shares to ibm file net p8 summary
Moving file shares to ibm file net p8 summaryDavid Champeau
 
Enterprise Content Search Paradigms
Enterprise Content Search ParadigmsEnterprise Content Search Paradigms
Enterprise Content Search ParadigmsDavid Champeau
 
ECM BPM Strategy With Enterprise Architecture Maturity Model
ECM BPM Strategy With Enterprise Architecture Maturity ModelECM BPM Strategy With Enterprise Architecture Maturity Model
ECM BPM Strategy With Enterprise Architecture Maturity ModelDavid Champeau
 
ECM BPM IT Architecture
ECM BPM IT ArchitectureECM BPM IT Architecture
ECM BPM IT ArchitectureDavid Champeau
 
It Architects And Engineers
It Architects And EngineersIt Architects And Engineers
It Architects And EngineersDavid Champeau
 
BPM Process Patterns Primer
BPM Process Patterns PrimerBPM Process Patterns Primer
BPM Process Patterns PrimerDavid Champeau
 

Más de David Champeau (11)

It business processes EA, SA and SOA together
It business processes   EA, SA and SOA togetherIt business processes   EA, SA and SOA together
It business processes EA, SA and SOA together
 
Information management
Information managementInformation management
Information management
 
ECM Project Management Basics
ECM Project Management BasicsECM Project Management Basics
ECM Project Management Basics
 
Some Basics of an ECM Project
Some Basics of an ECM ProjectSome Basics of an ECM Project
Some Basics of an ECM Project
 
Moving file shares to ibm file net p8 summary
Moving file shares to ibm file net p8 summaryMoving file shares to ibm file net p8 summary
Moving file shares to ibm file net p8 summary
 
Enterprise Content Search Paradigms
Enterprise Content Search ParadigmsEnterprise Content Search Paradigms
Enterprise Content Search Paradigms
 
ECM Pillars
ECM PillarsECM Pillars
ECM Pillars
 
ECM BPM Strategy With Enterprise Architecture Maturity Model
ECM BPM Strategy With Enterprise Architecture Maturity ModelECM BPM Strategy With Enterprise Architecture Maturity Model
ECM BPM Strategy With Enterprise Architecture Maturity Model
 
ECM BPM IT Architecture
ECM BPM IT ArchitectureECM BPM IT Architecture
ECM BPM IT Architecture
 
It Architects And Engineers
It Architects And EngineersIt Architects And Engineers
It Architects And Engineers
 
BPM Process Patterns Primer
BPM Process Patterns PrimerBPM Process Patterns Primer
BPM Process Patterns Primer
 

Último

Fordham -How effective decision-making is within the IT department - Analysis...
Fordham -How effective decision-making is within the IT department - Analysis...Fordham -How effective decision-making is within the IT department - Analysis...
Fordham -How effective decision-making is within the IT department - Analysis...Peter Ward
 
8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCR8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCRashishs7044
 
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCRashishs7044
 
Financial-Statement-Analysis-of-Coca-cola-Company.pptx
Financial-Statement-Analysis-of-Coca-cola-Company.pptxFinancial-Statement-Analysis-of-Coca-cola-Company.pptx
Financial-Statement-Analysis-of-Coca-cola-Company.pptxsaniyaimamuddin
 
TriStar Gold Corporate Presentation - April 2024
TriStar Gold Corporate Presentation - April 2024TriStar Gold Corporate Presentation - April 2024
TriStar Gold Corporate Presentation - April 2024Adnet Communications
 
FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607dollysharma2066
 
Guide Complete Set of Residential Architectural Drawings PDF
Guide Complete Set of Residential Architectural Drawings PDFGuide Complete Set of Residential Architectural Drawings PDF
Guide Complete Set of Residential Architectural Drawings PDFChandresh Chudasama
 
Annual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesAnnual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesKeppelCorporation
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCRashishs7044
 
Organizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessOrganizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessSeta Wicaksana
 
Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.Anamaria Contreras
 
Entrepreneurship lessons in Philippines
Entrepreneurship lessons in  PhilippinesEntrepreneurship lessons in  Philippines
Entrepreneurship lessons in PhilippinesDavidSamuel525586
 
Innovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfInnovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfrichard876048
 
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deckPitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deckHajeJanKamps
 
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City GurgaonCall Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaoncallgirls2057
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Servicecallgirls2057
 
Call Girls Contact Number Andheri 9920874524
Call Girls Contact Number Andheri 9920874524Call Girls Contact Number Andheri 9920874524
Call Girls Contact Number Andheri 9920874524najka9823
 
PSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationPSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationAnamaria Contreras
 

Último (20)

Fordham -How effective decision-making is within the IT department - Analysis...
Fordham -How effective decision-making is within the IT department - Analysis...Fordham -How effective decision-making is within the IT department - Analysis...
Fordham -How effective decision-making is within the IT department - Analysis...
 
8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCR8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCR
 
Japan IT Week 2024 Brochure by 47Billion (English)
Japan IT Week 2024 Brochure by 47Billion (English)Japan IT Week 2024 Brochure by 47Billion (English)
Japan IT Week 2024 Brochure by 47Billion (English)
 
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
 
Financial-Statement-Analysis-of-Coca-cola-Company.pptx
Financial-Statement-Analysis-of-Coca-cola-Company.pptxFinancial-Statement-Analysis-of-Coca-cola-Company.pptx
Financial-Statement-Analysis-of-Coca-cola-Company.pptx
 
Call Us ➥9319373153▻Call Girls In North Goa
Call Us ➥9319373153▻Call Girls In North GoaCall Us ➥9319373153▻Call Girls In North Goa
Call Us ➥9319373153▻Call Girls In North Goa
 
TriStar Gold Corporate Presentation - April 2024
TriStar Gold Corporate Presentation - April 2024TriStar Gold Corporate Presentation - April 2024
TriStar Gold Corporate Presentation - April 2024
 
FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607
 
Guide Complete Set of Residential Architectural Drawings PDF
Guide Complete Set of Residential Architectural Drawings PDFGuide Complete Set of Residential Architectural Drawings PDF
Guide Complete Set of Residential Architectural Drawings PDF
 
Annual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesAnnual General Meeting Presentation Slides
Annual General Meeting Presentation Slides
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
 
Organizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessOrganizational Structure Running A Successful Business
Organizational Structure Running A Successful Business
 
Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.
 
Entrepreneurship lessons in Philippines
Entrepreneurship lessons in  PhilippinesEntrepreneurship lessons in  Philippines
Entrepreneurship lessons in Philippines
 
Innovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfInnovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdf
 
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deckPitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
 
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City GurgaonCall Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
 
Call Girls Contact Number Andheri 9920874524
Call Girls Contact Number Andheri 9920874524Call Girls Contact Number Andheri 9920874524
Call Girls Contact Number Andheri 9920874524
 
PSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationPSCC - Capability Statement Presentation
PSCC - Capability Statement Presentation
 

Taxonomy And Metadata

  • 1. Taxonomy and Metadata 11/24/09 David Champeau - ECM Consultant
  • 2. Taxonomy and Metadata Definitions Examples Uses Introduction
  • 3. A taxonomy is A classification scheme Semantic A knowledge map Taxonomies provide the lenses by which we perceive and talk about the world we live in [Classification] is almost the methodical equivalent of electricity- we use it every day, yet often consider it to be rather mysterious. Taxonomy
  • 4. A taxonomy is a form of classification scheme Designed to group related things together (related not similar) Oranges and apples are in the fruit section Can be informal and ad hoc organize music CDs by genre Can be highly formal and standardized Dewey Decimal System Taxonomy
  • 5. Taxonomies are semantic Taxonomies in knowledge management are different from formal published classification schemes Formal schemes rely heavily on codes Knowledge management taxonomies provide a fixed vocabulary This vocabulary needs to be meaningful and transparent to ordinary users When content is labeled “Project Kickoff” everybody should know what kind of documents they can expect to find in that category Taxonomy
  • 6. Taxonomies are semantic They express the relationship between terms In the folder structure PROJECT DOCUMENTSROJECT KICKOFF we immediately recognize that we will find other types of project documents adjacent to the PROJECT KICKOFF folder and we expect that they will be linked to the sequence of stages in the project PROJECT DOCUMENTSROJECT KICKOFF PROJECT DOCUMENTSROJECT REQUIREMENTS PROJECT DOCUMENTSROJECT ARCHITECTURE If you take all the labels in a taxonomy and put them in alphabetical order, you have a controlled vocabulary – a dictionary Taxonomy
  • 7. A taxonomy is a knowledge map “coup d’oueil” – “cast of the eye” A good taxonomy should enable the user to immediately grasp the overall structure of the knowledge domain The user should be able to accurately anticipate what resources he or she might find where The taxonomy should be comprehensible, predictable and easy to navigate Taxonomy
  • 8. A taxonomy also acts as a artificial memory device Concepts are located in taxonomy structures and locked in place by association with their neighbors through their classification relationships This affords considerable mnemonic power Taxonomy
  • 9. Various representations of taxonomies Lists Trees Hierarchies Polyhierarchies Matrices Facets System maps Taxonomy
  • 10. Taxonomy work Taxonomies are products of work Developing a taxonomy is a project Knowledge management taxonomies need to reflect the working worlds of the organizations they are created for Because those working worlds continue to change, so must our taxonomies Taxonomy work is therefore continuous Taxonomy
  • 11. Taxonomy and Knowledge Management evolution Paper filing systems Shared drive folder structures Content management systems Initially taxonomies were quite simple, drop down lists of keywords Initially an aid to findability As technology developed, metadata played a wider role in the control and management of content Taxonomy
  • 12. Definition “Data about data” – Oxford English Dictionary “A collection of structured information about a document or a piece of content” For a document or (work) item of information this means data about the item such as Author, Title, Issue Data and other information. Metadata is usually defined in terms of units called “elements”, “fields”, “attributes” or “properties” Some elements may have “sub-elements” Date may have “date created”, “date approved”, “date published” Metadata may be made mandatory or optional Metadata
  • 13. Purposes of metadata To identify content Capture fields and distinguish each document from all others Manage content Version numbers, archive date, security and access permissions Retrieval of content Taxonomy topics, subject keywords, document type Connect content to other content Behavioural metadata captured in transaction (i.e. Amazon.com) Business processes Authored by whom? Reviewed by whom and when? Approved by whom and when? Support Records Management Retention periods, disposition cycles Metadata
  • 14. Standards and Guidelines Dublin Core Metadata Initiative (ISO 15836) Records Management ISO 15489 and 23081 US DoD 5015.2-STD Design Criteria Standard for Electronic Records Management Software Applications Metadata
  • 16. Enforcing metadata use Items with no metadata? Minimum metadata needed at birth Metadata additions later Keep entries consistent Controlled vocabularies Pick values from lists Select from given options A simple approach The system will hold metadata about items in two main categories Essential (mandatory), to identify and manage the item Optional, the provide more information about the item More on metadata
  • 17. Clearly metadata has to come from somewhere – and be accurate and useful Making some entries mandatory can help Too many mandatory elements may be seen as a tedious chore Too few mandatory elements may result in little metadata being entered Too many optional metadata entries may also result in little metadata being entered Users need to appreciate the VALUE of filling in the entries, voluntarily Mandatory or Optional?
  • 18. Metadata sources Document Template System User Multi-media sources Auto-classification and auto-indexing Keyword indexing OCR/ICR Classification software Metadata Sources
  • 19. Metadata content, however important, is notoriously difficult to acquire from users Before implementing ECM, users just put documents into an electronic folder of their choosing Now you are asking them to make a series of decisions about choosing categories, identifying access restrictions an so on Metadata implemented
  • 20. Try to assign metadata without user involvement E.g. templates, defaults Users must see value Does it make their job easier? Metadata implemented
  • 21. David Champeau ECM Consultant champeaudavid@yahoo.com Hope that it was helpful