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dc.contributor.authorPassant, Alexandreen
dc.contributor.authorSamwald, Matthiasen
dc.contributor.authorBreslin, Johnen
dc.contributor.authorDecker, Stefanen
dc.identifier.citationAlexandre Passant, Matthias Samwald, John Breslin, Stefan Decker "Federating Distributed Social Data to Build an Interlinked Online Information Society", Proceedings of the WebSci'09: Society On-Line, 18-20 March 2009, Athens, Greece., 2009.en
dc.description.abstractWhile research on the relation- ship between the Semantic Web and social media was originally motivated by the lack of semantics in mainstream Web 2.0 ser- vices, this vision can go much further, impacting society at large in terms of how in- formation is shared, interlinked and man- aged on the Web. In this paper, we will demonstrate how semantic technologies can be applied to social media, thereby creating a Web where data is socially created and maintained through end-user interactions, but is also machine-readable and there- fore open towards sophisticated queries and large-scale information integration. In particular, we will emphasise the impact of what we term "Social Semantic Information Spaces" on the creation of an Inter- linked Online Information Society, where any social data is a component in a world- wide collective intelligence ecosystem.en
dc.subjectSocial semantic weben
dc.subjectLinked dataen
dc.subjectCollective intelligenceen
dc.subject.lcshSemantic weben
dc.titleFederating Distributed Social Data to Build an Interlinked Online Information Societyen
dc.typeConference paperen
dc.contributor.funderScience Foundation Irelanden

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