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A Prototype to Explore Content and Context on Social Community Sites

dc.contributor.authorBojārs, Uldis
dc.contributor.authorHeitmann, Benjamin
dc.contributor.editorAuer, Sören
dc.contributor.editorBizer, Christian
dc.contributor.editorMüller, Claudia
dc.contributor.editorZhdanova, Anna V.
dc.date.accessioned2019-05-15T08:44:17Z
dc.date.available2019-05-15T08:44:17Z
dc.date.issued2007
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.identifier.isbn978-3-88579-207-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/22406
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofThe Social Semantic Web 2007 – Proceedings of the 1st Conference on Social Semantic Web (CSSW)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-113
dc.titleA Prototype to Explore Content and Context on Social Community Sitesen
dc.typeText/Conference Paper
gi.citation.endPage57
gi.citation.publisherPlaceBonn
gi.citation.startPage47
gi.conference.dateSeptember 26-28, 2007
gi.conference.locationLeipzig
gi.conference.sessiontitleRegular Research Papers

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