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Issue No. 04 - July-Aug. (2016 vol. 20)
ISSN: 1089-7801
pp: 74-78
Amit Sheth , Kno.e.sis Center, Wright State University
Pavan Kapanipathi , Kno.e.sis Center, Wright State University
ABSTRACT
More than a billion users on the Web are on social networks sharing and consuming short and real-time updates. Consumers of social data face information overload. Although information filtering can help, challenges that are specific to the short-text and real-time nature of social networks must be addressed. Knowledge bases -- particularly those derived from crowd-sourced platforms such as Wikipedia -- can be harnessed for building an intelligent and effective information-filtering system for social networks.
INDEX TERMS
Twitter, Internet, Encyclopedias, Electronic publishing, Filtering, Knowledge discovery, Information filtering, Social network services, Intelligent systems
CITATION
Amit Sheth, Pavan Kapanipathi, "Semantic Filtering for Social Data", IEEE Internet Computing, vol. 20, no. , pp. 74-78, July-Aug. 2016, doi:10.1109/MIC.2016.86
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