Linked Open Social Signals

TitleLinked Open Social Signals
Publication TypeConference Paper
Year of Publication2010
AuthorsPablo N. Mendes, Alex Passant, Pavan Kapanipathi, Amit Sheth
Conference NameInternational Conference on Web Intelligence
PublisherIEEE/WIC/ACM International Conference on Web Intelligence (WI-10)
Conference LocationToronto, Canada
Keywordsannotation, information extraction, microblogging, rdf, Social Media, social signals, sparql, twitter
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.

Full Text

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%)

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