<rdf:RDF xmlns:community="http://www.bibsonomy.org/ontologies/2008/05/community#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:admin="http://webns.net/mvcb/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:cc="http://web.resource.org/cc/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" xmlns:swrc="http://swrc.ontoware.org/ontology#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xml:base="http://www.bibsonomy.org/user/eswc2008/classes"><owl:Ontology rdf:about=""><rdfs:comment>BibSonomy publications for /user/eswc2008/classes</rdfs:comment><owl:imports rdf:resource="http://swrc.ontoware.org/ontology/portal"/></owl:Ontology><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/27c52baaf3f2528ccd15e211eb6832186/eswc2008"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/27c52baaf3f2528ccd15e211eb6832186/eswc2008"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://data.semanticweb.org/conference/eswc/2008/papers/36"/><swrc:date>Wed May 28 14:49:52 CEST 2008</swrc:date><swrc:address>Berlin, Heidelberg</swrc:address><swrc:booktitle>Proceedings of the 5th European Semantic Web Conference</swrc:booktitle><swrc:month>June</swrc:month><swrc:publisher><swrc:Organization swrc:name="Springer Verlag"/></swrc:publisher><swrc:series>LNCS</swrc:series><swrc:title>Distinguishing between Instances and Classes in the Wikipedia Taxonomy</swrc:title><swrc:year>2008</swrc:year><swrc:keywords>instances taxonomy classes ontologies-and-natural-language </swrc:keywords><swrc:abstract>This paper presents an automatic method for differentiating between instances and classes in a large scale taxonomy induced from the Wikipedia category network. The method exploits characteristics of the category names and the structure of the network. The approach we present is the first attempt to make this distinction automatically in a large scale resource. In contrast, WordNet and Cyc rely on manual annotations. The result of the process is evaluated against ResearchCyc. On the subnetwork shared by our taxonomy and ResearchCyc we report 84.52% accuracy.</swrc:abstract><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Caecilia Zirn"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Vivi Nastase"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Michael Strube"/></rdf:_3></rdf:Seq></swrc:author><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="Manfred Hauswirth"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Manolis Koubarakis"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Sean Bechhofer"/></rdf:_3></rdf:Seq></swrc:editor></rdf:Description></rdf:RDF>
