A Prototype to Explore Content and Context on Social Community Sites

Zusammenfassung
The 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.
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  • BibTeX
Bojārs, U. & Heitmann, B., (2007). A Prototype to Explore Content and Context on Social Community Sites. In: Auer, S., Bizer, C., Müller, C. & Zhdanova, A. V. (Hrsg.), The Social Semantic Web 2007 – Proceedings of the 1st Conference on Social Semantic Web (CSSW). Bonn: Gesellschaft für Informatik e. V.. (S. 47-57).
@inproceedings{mci/Bojārs2007,
author = {Bojārs, Uldis AND Heitmann, Benjamin},
title = {A Prototype to Explore Content and Context on Social Community Sites},
booktitle = {The Social Semantic Web 2007 – Proceedings of the 1st Conference on Social Semantic Web (CSSW)},
year = {2007},
editor = {Auer, Sören AND Bizer, Christian AND Müller, Claudia AND Zhdanova, Anna V.} ,
pages = { 47-57 },
publisher = {Gesellschaft für Informatik e. V.},
address = {Bonn}
}
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ISBN: 978-3-88579-207-9
ISSN: 1617-5468
Datum: 2007
Sprache: en (en)
Typ: Text/Conference Paper
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