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dc.contributor.authorBojars, Uldisen
dc.contributor.authorHeitmann, Benjaminen
dc.contributor.authorOren, Eyalen
dc.date.accessioned2009-11-27T14:56:45Zen
dc.date.available2009-11-27T14:56:45Zen
dc.date.issued2007en
dc.identifier.citationUldis Bojars, Benjamin Heitmann, Eyal Oren "A Prototype to Explore Content and Context on Social Community Sites", SABRE Conference on Social Semantic Web (CSSW 2007), 2007.en
dc.identifier.urihttp://hdl.handle.net/10379/436en
dc.description.abstractThe SIOC Ontology can be used to express information from the online community sites in a machine readable form using RDF. This rich data structure allows us to easily analyse and extract social relations from these community sites. We use SIOC information to analyse the social relations between users through the content that they create. We introduce metrics for social neighbourhood and social reputation, formally expressed as SPARQL queries over SIOC data. Finally, we demonstrate these algorithms in our Social SIOC Explorer prototype.en
dc.formatapplication/pdfen
dc.language.isoenen
dc.subject.lcshQuery languages (Computer science)en
dc.subject.lcshSemantic Weben
dc.titleA Prototype to Explore Content and Context on Social Community Sitesen
dc.typeConference paperen
dc.description.peer-reviewedpeer-revieweden
dc.contributor.funderm3peen
dc.contributor.funderScience Foundation Irelanden
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