Linked Open Social Signals

In this paper we discuss the collection, semantic annotation and analysis of real-time social signals from microblogging 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-ofthe-art Semantic Web technologies and a distributed publishsubscribe 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. Keywords-Semantic Web, Real-time systems, Microblogging, Linked Data

• Type: Journal
• Year: 2010
• Where: WEBI
• Authors: Pablo N. Mendes, Alexandre Passant, Pavan Kapanipathi, Amit P. Sheth
• Keywords: Internet Technology, Real-time Social Signals, Social Signals, State-ofthe-art Semantic Web, WEBI 2010