<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/pitman/taxonomy"><owl:Ontology rdf:about=""><rdfs:comment>BibSonomy publications for /user/pitman/taxonomy</rdfs:comment><owl:imports rdf:resource="http://swrc.ontoware.org/ontology/portal"/></owl:Ontology><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/27b619b23b60843f65297864e40dbb9f4/pitman"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/27b619b23b60843f65297864e40dbb9f4/pitman"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://www.eml-research.de/english/homes/strube/papers/aaai07.pdf"/><swrc:date>Fri Jan 18 06:27:35 CET 2008</swrc:date><swrc:title>Deriving a Large Scale Taxonomy from Wikipedia</swrc:title><swrc:year>2007</swrc:year><swrc:keywords>Wikipedia large scale semantic_web taxonomy </swrc:keywords><swrc:abstract>We take the category system in Wikipedia as a conceptual network. We label the semantic relations between categories us- 
ing methods based on connectivity in the network and lexico- 
syntactic matching. As a result we are able to derive a large 
scale taxonomy containing a large amount of subsumption, 
i.e. isa, relations. We evaluate the quality of the created resource by comparing it with ResearchCyc, one of the largest 
manually annotated ontologies, as well as computing seman- 
tic similarity between words in benchmarking datasets. 
able to derive a large scale taxonomy. 
</swrc:abstract><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Michae Ponzetto"/></rdf:_1></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/21b86a08b94f10c27d35c4f2ac00c66e0/pitman"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/21b86a08b94f10c27d35c4f2ac00c66e0/pitman"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Thu Jan 10 19:47:36 CET 2008</swrc:date><swrc:journal>Artificial Intelligence Review</swrc:journal><swrc:pages>285-330</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Kluwer Academic Publishers"/></swrc:publisher><swrc:title>A Taxonomy of Recommender Agents on the Internet</swrc:title><swrc:volume>19</swrc:volume><swrc:year>2003</swrc:year><swrc:keywords>agents recommender taxonomy </swrc:keywords><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Josep Lluis De La Rosa Miguel Montaner"/></rdf:_1></rdf:Seq></swrc:author></rdf:Description></rdf:RDF>
