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Linked Open Social Signals

Title Linked Open Social Signals
Author , , ,
Venue International Conference on Web Intelligence
Book IEEE/WIC/ACM International Conference on Web Intelligence (WI-10)
Year 2010
Resource Type ConferencePaper
Keyword(s) rdf,twitter,information extraction,sparql,social signals,social media,microblogging,annotation
Full Citation Mendes PN, Passant A, Kapanipathi P, Sheth AP, 'Linked Open Social Signals,' WI2010 IEEE/WIC/ACM International Conference on Web Intelligence (WI-10), Toronto, Canada, Aug. 31 to Sep. 3, 2010. (acceptance rate 16.6%)
Abstract In this paper we discuss the collection, semantic annotation and analysis of real-time social signals from micro-blogging data. We focus on users interested in analyzing socialsignals collectively for sensemaking. Our proposal enables flexibility in selecting subsets for analysis, alleviating information overload. We define an architecture that is based on state-of-the-art Semantic Web technologies and a distributed publish subscribe protocol for real time communication. In addition,we discuss our method and application in a scenario related to the health care reform in the United States.
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