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Federating Distributed Social Data to Build an Interlinked Online Information Society

Passant, Alexandre
; 
Samwald, Matthias
; 
Breslin, John
; 
Decker, Stefan
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Identifiers
http://hdl.handle.net/10379/571
 https://doi.org/10.13025/21086
Publication Date
2009
Keywords
Social semantic web, Linked data, SIOC, Collective intelligence
Type
Conference Paper
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Citation
Alexandre 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.
Abstract
While 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.
Funder
Science Foundation Ireland
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Attribution-NonCommercial-NoDerivs 3.0 Ireland
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Data Science Institute (Conference Papers)