Please use this identifier to cite or link to this item: http://swig.hpclab.ceid.upatras.gr/dspace-ss-demo/handle/123456789/13
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dc.contributor.authorPassant, Alexandre-
dc.date.accessioned2011-04-09T16:20:37Z-
dc.date.available2011-04-09T16:20:37Z-
dc.date.issued2010-
dc.identifier.otherhttp://dbrec.net-
dc.identifier.urihttp://swig.hpclab.ceid.upatras.gr/dspace-ss-demo/handle/123456789/13-
dc.description1st Prize AI Mashup Challange at ESWC 2010en_US
dc.description.abstractdbrec is a service providing recommendations for the 39,000+ artists available in the DBpedia dataset (i.e. identified as instances of dbpedia-owl:MusicalArtist or dbpedia-owl:Band). The recommendations are computed using an algorithm for Linked Data Semantic Distance and take into account the various links that connect two resources, either directly (e.g. artists having played together) or indirectly (e.g. being on the same label or having covered the same song). Moreover, dbrec, explains the recommendations to the user, by keeping in mind the various links that have been used to compute the recommendations.en_US
dc.description.sponsorshipElsevieren_US
dc.language.isoenen_US
dc.subjectSocial Semantic Weben_US
dc.subjectSemantic Distanceen_US
dc.subjectRDFaen_US
dc.subjectDBpediaen_US
dc.subjectrecommendationsen_US
dc.subjectLinked Dataen_US
dc.titledbrec - Music Recommendations Using DBpediaen_US
dc.title.alternativedbrec - Intelligent music recommendations for and from the Web of Dataen_US
dc.typeSoftwareen_US
dc.typeTechnical Reporten_US
Appears in Collections:Mashup Challenge

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