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Building taxonomies from the ground-up Prakash Govindarajulu Managing Consultant RealTech Inc prakashgovind@realtechinc.com 781-883-8338
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RealTech Inc. Taxonomy and Semantics Why taxonomies? How can they influence semantics? Bottom-up methodology for building them Search Taxonomy Semantic System
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RealTech Inc. P2P Communication – inherent semantics Richness of Dialog, opportunity to: -Clarify context - Clarify query - Refine query - Answer if known
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RealTech Inc. The Semantic Problem Information Systems The semantic problem: - Knowledge representation - Capturing domain expertise - Accessing knowledge without loss of richness of dialog
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RealTech Inc. Terminology: data, information, knowledge Data: any fact Metadata/Information: the act or fact of informing. Data about data Provides context Relationship with other data objects Knowledge: the fact or state of knowing; the perception of fact or truth Interpreted data, “understands” data and information to refine or fulfil a query Experiential data Data Metadata Knowledge
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RealTech Inc. “Knowledge” Representation Today Systems With Data (documents, Database Wikis blogs) Information Access Systems (Search)
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RealTech Inc. Search – Yet Another Index? Systems With Data (documents, database) Information Access Systems (Search) Index
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RealTech Inc. Challenges Systems With Data (documents, database) Information Access Systems (Search) User’s perspective is not well understood Search relevancy therefore suffers How can related information be presented? Solution approach: Taxonomy Index
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RealTech Inc. Taxonomy anyone? From digg.com 6/8/07
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RealTech Inc. Taxonomy – Classification Classification: Categories & Subcategories
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RealTech Inc. Taxonomy – Guided Navigation Perspectives or Facets
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RealTech Inc. Building Taxonomy – the Human Element Systems With Data (documents, database) System With Metadata (Taxonomy) Information Access Systems (Search) Human Element ConsensusGovernance
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RealTech Inc. Taxonomy Guidelines …1 System with Metadata – Taxonomy Management System Human Element - Audience: Know thy user for they are not Thee - Harmony of Purpose - Communication Listening Understanding Consensus vs majority - Metadata for data - Metadata for metadata - Governance
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RealTech Inc. Taxonomy Guidelines …2 System with Metadata – Taxonomy Management System Human Element Jerusalem Artichokes The OTHER Category Courtesy: Wikipedia
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RealTech Inc. Taxonomy Guidelines …3 System with Metadata – Taxonomy Management System Human Element Defining relationships among metadata and data elements: First step toward semantics Vehicle Manufactured-in CITY EMISSION RULES Applies-To Observed-In
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RealTech Inc. Taxonomy Guidelines …4 System with Metadata – Taxonomy Management System Human Element - Knowledge worker Participation - Buy-in from management - Buy-in from other affected departments
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RealTech Inc. TaxoConsolidator Master Taxonomy Source 1Source 2 TaxoConsolidator allows user to create a Master taxonomy by combining (adding and merging through dragndrop) individual taxonomies created by knowledge workers Courtesy: RealTechInc
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RealTech Inc. Wordmap – Taxonomy Management System Creating and maintaining taxonomies Using Wordmap Courtesy: Earley & Associates
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RealTech Inc. Moving toward semantics Understand your audience Define the domain of problems clearly Need for robust representation of data, information in that domain Involve all relevant knowledge workers Create a taxonomy – with metadata and relationships Expose and use the taxonomy in systems enterprise wide Need for a flexible rules and inference engines to interpret data and discover related “knowledge”
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RealTech Inc. Next Steps toward semantics Enterprise Systems (documents, database) Taxonomy Mangement System (Taxonomy) Information Access Systems (Search) Human Element Rules Inference Engines (Semantic Interpreter)
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RealTech Inc. New Tools for Taxonomy New Tools - TaxoBuilder – term extraction tool and individual taxonomy construction tool -TaxoConsolidator – consolidates individual taxonomies -Wordmap from E&A
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RealTech Inc. Summary Search and understanding user request through query semantics Represent your information through taxonomies as a fulcrum for all information management in enterprise Build semantic interpreters of relationships and metadata to complement search
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