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Taxonomy DevelopmentCase Studies
Tom ReamyChief Knowledge Architect
KAPS Group
Knowledge Architecture Professional Services
http://www.kapsgroup.com
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Agenda
Introduction
Development Process – Examples
Tale of Two Taxonomies – Best of Times and Worst of Times
Conclusion
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Taxonomy Development Process
Foundation – Strategic & Business Context– Focus Groups, contextual interviews
Knowledge Architecture Audit – Knowledge Map Taxonomy Strategy/Model – forms, technology, people
– Existing taxonomic resources, software Draft Taxonomy
– Information Interviews, focus groups, card sorts– Content Analysis, top down & bottom up– Refine, feedback, pilot app
Taxonomy Plans – Governance, Maintenance, Applications
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Knowledge Architecture Audit:Knowledge MapProject Foundation
Contextual Interviews
Information
Interviews
App/Content
Catalog
User Survey Strategy
Document
Meetings, work groups
Overview
High Level:
Process
Community
Info behaviors of Business processes
Technology and content
All 4 dimensions
Meetings, work groups
General Outline
Broad Context
Deep Details
Deep Details
Complete Picture
New
Foundation
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Taxonomy Development Process:Progressive RefinementTaxonomy Model
Information
Interviews
Content Analysis
Refine Map Community
Governance Plan
Buy/Find work groups
Overview
Info behaviors, Card Sorts
Bottom Up Prototypes
Interviews Evaluate
Refine Interviews
Develop, Refine
General Outline
Preliminary Taxonomy
Taxonomy 1.0
Taxonomy 1.0-1.9
Tax 2.0 Taxonomy
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Taxonomy Development: Tips and TechniquesFoundation
Strategic Foundation– Info Problems – what, how severe– Political environment – support, special interests
Knowledge Architecture Audit – Self Knowledge– Size, Major Org, Info environment
Strategic Questions – why, what value from the taxonomy, how are you going to use it
Technology Environment – ECM, Enterprise Search
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Taxonomy Development: Tips and TechniquesTaxonomy Foundation Variety of taxonomies – important to know the differences,
when to use what. People: Get a good taxonomist! (Assign resources,
learn)– Library Science+ Cognitive Science + Cognitive Anthropology
Technology – Taxonomy Management, Visulaization– Entity Extraction
Content Structures: Get a good taxonomy!– Glossary, Index, Pull from multiple sources– Get a good document collection
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Infrastructure Solutions: Taxonomy DevelopmentTaxonomy Model
Enterprise Taxonomy– No single subject matter taxonomy – Need an ontology of facets or domains
Standards and Customization– Balance of corporate communication and departmental specifics– At what level are differences represented?– Customize pre-defined taxonomy – additional structure, add
synonyms and acronyms and vocabulary
Enterprise Facet Model:– Actors, Events, Functions, Locations, Objects, Information
Resources– Combine and map to subject domains
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Taxonomy Development: Tips and TechniquesDevelopment and/or Customization Combination of top down and bottom up (and Essences)
– Top: Design an ontology, facet selection – Bottom: Vocabulary extraction – documents, search logs,
interview authors and users– Develop essential examples (Prototypes)
• Most Intuitive Level – genus (oak, maple, rabbit)• Quintessential Chair – all the essential characteristics, no more
– Work toward the prototype and out and up and down– Repeat until dizzy or done
Map the taxonomy to communities and activities– Category differences– Vocabulary differences
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Taxonomy Development: Tips and TechniquesEvaluate and Refine
Formal Evaluation– Quality of corpus – size, homogeneity, representative– Breadth of coverage – main ideas, outlier ideas (see next)– Structure – balance of depth and width– Kill the verbs– Evaluate speciation steps – understandable and systematic
• Person – Unwelcome person – Unpleasant person - Selfish person
– Avoid binary levels, duplication of contrasts– Primary and secondary education, public and private
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Taxonomy Development: Tips and TechniquesEvaluate and Refine
Practical Evaluation– Test in real life application– Select representative users and documents– Test node labels with Subject Matter Experts
• Balance of making sense and jargon
– Test with representative key concepts– Test for un-representative strange little concepts that only
mean something to a few people but the people and ideas are key and are normally impossible to find
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Enterprise Environment – Case Studies
A Tale of Two Taxonomies – It was the best of times, it was the worst of times
Basic Approach– Initial meetings – project planning– High level K map – content, people, technology– Contextual and Information Interviews– Content Analysis– Draft Taxonomy – validation interviews, refine– Integration and Governance Plans
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Enterprise Environment – Case One – Taxonomy, 7 facets
Taxonomy of Subjects / Disciplines:– Science > Marine Science > Marine microbiology > Marine toxins
Facets:– Organization > Division > Group– Clients > Federal > EPA– Instruments > Environmental Testing > Ocean Analysis > Vehicle– Facilities > Division > Location > Building X– Methods > Social > Population Study– Materials > Compounds > Chemicals– Content Type – Knowledge Asset > Proposals
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Enterprise Environment – Case One – Taxonomy, 7 facets
Project Owner – KM department – included RM, business process
Involvement of library - critical Realistic budget, flexible project plan Successful interviews – build on context
– Overall information strategy – where taxonomy fits Good Draft taxonomy and extended refinement
– Software, process, team – train library staff– Good selection and number of facets
Final plans and hand off to client
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Enterprise Environment – Case Two – Taxonomy, 4 facets
Taxonomy of Subjects / Disciplines:– Geology > Petrology
Facets:– Organization > Division > Group– Process > Drill a Well > File Test Plan– Assets > Platforms > Platform A– Content Type > Communication > Presentations
Issues– Not enough facets– Wrong set of facets – business not information– Ill-defined facets – too complex internal structure
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Enterprise Environment – Case Two – Taxonomy, 4 facets
Environment Issues– Value of taxonomy understood, but not the complexity
and scope– Under budget, under staffed– Location – not KM – tied to RM and software
• Solution looking for the right problem
– Importance of an internal library staff– Difficulty of merging internal expertise and taxonomy
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Enterprise Environment – Case Two – Taxonomy, 4 facets
Project Issues– Project mind set – not infrastructure– Wrong kind of project management
• Special needs of a taxonomy project• Importance of integration – with team, company
– Project plan more important than results• Rushing to meet deadlines doesn’t work with semantics as
well as software
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Enterprise Environment – Case Two – Taxonomy, 4 facets
Research Issues– Not enough research – and wrong people– Interference of non-taxonomy – communication– Misunderstanding of research – wanted tinker toy connections
• Interview 1 implies conclusion A
Design Issues– Not enough facets– Wrong set of facets – business not information– Ill-defined facets – too complex internal structure
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Taxonomy DevelopmentConclusion: Risk Factors
Political-Cultural-Semantic Environment – Not simple resistance - more subtle
• – re-interpretation of specific conclusions and sequence of conclusions / Relative importance of specific recommendations
Understanding project scope Access to content and people
– Enthusiastic access
Importance of a unified project team– Working communication as well as weekly meetings
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Conclusion
Enterprise Context – strategic, self knowledge Importance of a good foundation
– Taxonomy Model– Be Smart – beg, borrow, steal resources
Importance of Taxonomy Vision– Infrastructure resource, not a project– Evolving – processes to direct the evolution– Importance of Taxonomy
Balance of expertise and local knowledge
Questions?
KAPS Group
Knowledge Architecture Professional Services
http://www.kapsgroup.com