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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.
Høgskolen i Oslo Topic maps, a technology for knowledge organisation Presentation at ELAG 2004 Nils Pharo.
1 Conceptual Modeling of Topic Maps with ORM Versus UML Are D. Gulbrandsen The XML group, Center for Information Technology Services, University of Oslo,
Coastal Atlas Interoperability - Ontologies (Advanced topics that we did not get to in detail) Luis Bermudez Stephanie Watson Marine Metadata Interoperability.
© 2003 Ontopia AS 1 ISO 13250:2002 – Topic Maps An International Standard Knowledge Representation for Humans and Agents Steve.
Emnekart Oslo 2006 Henrik Laursen 1 - Copenhagen University Library since The Kings Library since National Deposit Library since Public.
Topic Maps introduction Peter-Paul Kruijsen CTO, Morpheus software ISOC seminar, april 5 th 2005.
PREMIS Tools and Services Rebecca Guenther Network Development & MARC Standards Office, Library of Congress NDIIPP Partners Meeting July 21,
XML DTDs and other Alternatives: Vocabulary Markup Language (Voc-ML) Project & Friends Joseph A. Busch Director, Solutions Architecture NetLab and Friends.
The Semantic Web – WEEK 4: RDF Tutorial/Practical: Exercises using the Suns Lee McCluskey NB most examples below courtesy of the RDF Primer WC3 document.
NetworkedPlanet Networked Information – Networked Knowledge Topic Maps & Web 3.0 © 2007 Networked Planet Limited. Web 3.0 Technology Platform to enable.
Jim Hendler Chief Scientist - Information Systems Office DARPA.
Ontology Summit2007 Survey Response Analysis Ken Baclawski Northeastern University.
Building a Topic Map Repository Xia Lin Drexel University Philadelphia, PA Jian Qin Syracuse University Syracuse, NY * Presented at Knowledge Technologies.
Metadata Common Vocabulary a journey from a glossary to an ontology of statistical metadata, and back Sérgio Bacelar
Applying ISO25964 to thesaurus mapping and other forms of linkage Stella Dextre Clarke Convenor, ISO TC46/SC9 WG8 1.
IPY and Semantics Siri Jodha S. Khalsa Paul Cooper Peter Pulsifer Paul Overduin Eugeny Vyazilov Heather lane.
Ontologies (What they are; Why you should care; What you should know) Deborah L. McGuinness Associate Director and Senior Research Scientist Knowledge.
The Web of data with meaning... By Michael Griffiths.
April 23, 2007McGuinness NIST Interoperability Week One Ontology Spectrum Perspective Deborah L. McGuinness Acting Director & Senior Research Scientist.
Logics for Data and Knowledge Representation Projects and thesis introduction.
TMRA Leipzig 2006 Henrik Laursen 1 The Royal Library, Denmark Topic Maps as a means to subject search across multiple catalogues Henrik Laursen, research.
Semantic web course – Computer Engineering Department – Sharif Univ. of Technology – Fall Knowledge Representation Semantic Web - Fall 2005 Computer.
BS 8723 advances to encompass interoperability Stella G Dextre Clarke Convenor, IDT/2/2 Working Group of BSI.
ISO TC37/SC4 N435 Nov 12, 2007 Presented by Miran Choi/ETRI Written by Jae Sung Lee/Chungbuk National Univ.
Lifecycle Metadata for Digital Objects November 1, 2004 Descriptive Metadata: “Modeling the World”
Semantic Web ０６ T ０００６ YOSHIYUKI Osawa. Problem of current web limits of search engines Most web pages are only groups of character strings. Most web.
CH-4 Ontologies, Querying and Data Integration. Introduction to RDF(S) RDF stands for Resource Description Framework. RDF is a standard for describing.
WSDL – Web Service Definition Language WSDL is used to describe, locate and define Web services. A web service is described by: message format simple.
PREMIS Controlled vocabularies Rebecca Guenther Sr. Networking & Standards Specialist, Library of Congress PREMIS Implementation Fair Vienna,
RDF, RDF, RDF…. Lecture 22. XML Data New Article.
Terminology Services Diane Vizine-Goetz Senior Research Scientist OCLC Research.
Public Access and Spatial Metadata Values: Semantic Network Services Response to EU Directives Maria Rüther Federal Environment Agency,
PREMIS Controlled vocabularies Rebecca Guenther Sr. Networking & Standards Specialist, Library of Congress PREMIS Implementation Fair San.
The MMI Tools Carlos Rueda Monterey Bay Aquarium Research Institute OOS Semantic Interoperability Workshop Marine Metadata Interoperability Project Boulder,
O N T O P E D I A The Identity of Everything Creating Topic Maps + Topic Maps and Knowledge Organization Steve Pepper
1 Technologies and Modelling Frameworks XML ontology RDF taxonomy OWL thesaurus Semantic Web.
ÆKOS: A new paradigm for discovery and access to complex ecological data David Turner, Paul Chinnick, Andrew Graham, Matt Schneider, Craig Walker Logos.
1 Representing Data with XML September 27, 2005 Shawn Henry with slides from Neal Arthorne.
BS 8723 : a new British Standard for structured vocabularies Stella G Dextre Clarke Information Consultant.
SNU OOPSLA Lab. TOPIC MAP Lee H. J.. SNU OOPSLA Lab. Table of Contents What are topic maps? Role of TM Graphical Notation Linear Topic MAP Notation.
1Infomation Management Solutions Consultants Inc Essential Role of Data Architecture in Business Architecture & SOA William J. Mancuso President.
The Semantic Web Week 12 Term 1 Recap Lee McCluskey, room 2/07 Department of Computing And Mathematical Sciences Module Website:
Progress Update Semantic Web, Ontology Integration, and Web Query Seminar Department of Computing David George.
Practical Learning Design in a Future Learning Object Economy Tore Hoel Norwegian eStandard project Edinburgh, Oct 23rd 2003.
1 Copyright ©2007 Sandpiper Software, Inc. Vocabulary, Ontology & Specification Management at OMG Elisa Kendall Sandpiper Software
Overview of ISO NP Stella G Dextre Clarke Convenor, IDT/2/2 Working Group of BSI and Project Leader for ISO NP
© 2003 Ontopia AS 1 The TAO of Topic Maps An Introduction to Topic Maps, Ontologies, and Published Subjects Steve Pepper, CEO,
Dr. Leo Obrst MITRE Information Semantics Information Discovery & Understanding Command & Control Center February 6, 2014February 6, 2014February 6, 2014.
Ontology Notes are from: - Fall 2006, BIO/CS311 Bioinformatics – Lecture 24 - Alton’s Slides – “What is Ontology” - -
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
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