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© UNIVERSITETETS SENTER FOR INFORMASJONSTEKNOLOGI UNIVERSITETET I OSLO USIT Side 1 Knowledge organization with TopicMaps Thomas Flemming, web-gruppa USIT
© UNIVERSITETETS SENTER FOR INFORMASJONSTEKNOLOGI UNIVERSITETET I OSLO USIT Side 2 What’s TopicMaps ISO standard data model for knowledge organization –Standard XML interchange file format, query language and constraint language Used for classifications (hierarcial and faceted), thesauri, ontologies etc. Intuitive abstraction: –Everything is a topic (”Einstein”, ”Sponge”, ”person”) –and has assocations (”boy” subclass-of ”person”) –and occurences (homepage:”http://einstein.com” born:”1905”) –and an id (id:http://en.wikipedia.com/wiki/Einstein)
© UNIVERSITETETS SENTER FOR INFORMASJONSTEKNOLOGI UNIVERSITETET I OSLO USIT Side 3 Benefits from TopicMaps Create taxonomies, faceted classification and/or thesauri to increase findability of information Extract information from RDBM to TopicMaps Merge TopicMaps if they have common id’s Off the shelf tools available for web apps, search engines, merging, editing and visualisation Suitable for portals, intranets, knowledge repositories
© UNIVERSITETETS SENTER FOR INFORMASJONSTEKNOLOGI UNIVERSITETET I OSLO USIT Side 4 Demo Off the shelf webapp: Several portals merged: Publications:
© UNIVERSITETETS SENTER FOR INFORMASJONSTEKNOLOGI UNIVERSITETET I OSLO USIT Side 5 Expressivity progression ( from Garshol) No model Closed modelOpen model Topic Maps Taxonomies, thesauri Flat list, tags
© UNIVERSITETETS SENTER FOR INFORMASJONSTEKNOLOGI UNIVERSITETET I OSLO USIT Side 6 Knowledge organization (from Pepper) Formal, standardized language Full topic maps Weakly structured Strongly structured Term Lists (flat) Classification and categorization (hierarchical) Ontologies (associative) Natural language TAO topic maps Thesauri Faceted classification Taxonomies Classification schemes Subject headings Synonym rings Authority Lists Controlled Vocabulary Mind Maps
© UNIVERSITETETS SENTER FOR INFORMASJONSTEKNOLOGI UNIVERSITETET I OSLO USIT Side 7 TopicMaps is not Semantic Web (from Pepper) RDF/OWL is optimized for inferencing; Topic Maps is optimized for findability. RDF/OWL is based on formal logic; Topic Maps is not based on formal logic. RDF/OWL is to mathematics as Topic Maps is to language.
© UNIVERSITETETS SENTER FOR INFORMASJONSTEKNOLOGI UNIVERSITETET I OSLO USIT Side 8 Questions? Thank’s for your attention.
Terminology Services Diane Vizine-Goetz Senior Research Scientist OCLC Research.
Finding Hierarchy in Facets. The Great Chain of Being.
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Recent NKOS developments (Networked Knowledge Organisation Systems/Services) Doug Tudhope Hypermedia Research Unit University of Glamorgan DELOS Workshop,
1 Copyright ©2007 Sandpiper Software, Inc. Vocabulary, Ontology & Specification Management at OMG Elisa Kendall Sandpiper Software
MILAN STANKOVIC 1,2 & PHILIPPE LAUBLET 1 1 STIH – UNIVERSITÉ PARIS-SORBONNE 2 HYPIOS Linked Data : Exposing your data on the Web.
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Dr. Leo Obrst Information Semantics Command & Control Center July 17, 2007 Ontologies Can't Help Records Management Or Can They?
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1 Standards for KOS Present status and future requirements NKOS ECDL 2003 Dagobert Soergel College of Information Studies University of Maryland.
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1/ 26 AGROVOC and the OWL Web Ontology Language: the Agriculture Ontology Service - Concept Server OWL model NKOS workshop Alicante,
CoReWIKI and Semantic Web A node for cultural heritage standards.
April 23, 2007McGuinness NIST Interoperability Week One Ontology Spectrum Perspective Deborah L. McGuinness Acting Director & Senior Research Scientist.
BS 8723 : a new British Standard for structured vocabularies Stella G Dextre Clarke Information Consultant.
Open Ontology Repository Ken Baclawski College of Computer and Information Science Northeastern University.
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Erich Schweighofer University of Vienna, Austria.
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Catalogue, synthesise Templates, forms, data sets used in real, diverse health settings Formal representation of clinical business object REQUIREMENTS.
Ontology-Based Computing Kenneth Baclawski Northeastern University and Jarg.
Taxonomy Development in an Enterprise Context Tom Reamy Chief Knowledge Architect KAPS Group Knowledge Architecture Professional Services
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