<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/cschenk/movies"><owl:Ontology rdf:about=""><rdfs:comment>BibSonomy publications for /user/cschenk/movies</rdfs:comment><owl:imports rdf:resource="http://swrc.ontoware.org/ontology/portal"/></owl:Ontology><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2e4cc0d7b14b091f64d1377fb8625f92e/cschenk"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2e4cc0d7b14b091f64d1377fb8625f92e/cschenk"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://eprints.ecs.soton.ac.uk/14007/"/><swrc:date>Sun Jun 08 12:59:40 CEST 2008</swrc:date><swrc:booktitle>4th European Semantic Web Conference, Bridging the Gap between Semantic Web and Web 2.0</swrc:booktitle><swrc:title>Folksonomies, the Semantic Web, and Movie Recommendation </swrc:title><swrc:year>2007</swrc:year><swrc:keywords>collaborative filtering folksonomies imdb kind-of-tags movies netflix paper read:2008 recommendation semantic tagora tags web web2.0 </swrc:keywords><swrc:abstract>While the Semantic Web has evolved to support the meaningful exchange of heterogeneous data through shared and controlled conceptualisations, Web 2.0 has demonstrated that large-scale community tagging sites can enrich the semantic web with readily accessible and valuable knowledge. In this paper, we investigate the integration of a movies folksonomy with a semantic knowledge base about user-movie rentals. The folksonomy is used to enrich the knowledge base with descriptions and categorisations of movie titles, and user interests and opinions. Using tags harvested from the Internet Movie Database, and movie rating data gathered by Netﬂix, we perform experiments to investigate the question that folksonomy-generated movie tag-clouds can be used to construct better user proﬁles that reﬂect a user’s level of interest in different kinds of movies, and therefore, provide a basis for prediction of their rating for a previously unseen movie.</swrc:abstract><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Martin Szomszor"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Ciro Cattuto"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Harith Alani"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Kieron O&#039;Hara"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Andrea Baldassarri"/></rdf:_5><rdf:_6><swrc:Person swrc:name="Vittorio Loreto"/></rdf:_6><rdf:_7><swrc:Person swrc:name="Vito D.P. Servedio"/></rdf:_7></rdf:Seq></swrc:author></rdf:Description></rdf:RDF>
