Document Type
Conference Proceeding
Publication Date
2010
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 social signals 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.
Repository Citation
Mendes, P. N.,
Passant, A.,
Kapanipathi, P.,
& Sheth, A. P.
(2010). Linked Open Social Signals. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 224-231.
https://corescholar.libraries.wright.edu/knoesis/556
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Presented at the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Toronto, ON, August 31-September 3, 2010.
Posted with permission from IEEE.
The Linked Open Social Signals project page can be found at: http://wiki.knoesis.org/index.php/LinkedOpenSocialSignals.