Amit Sheth, Pavan Kapanipathi, "Semantic Filtering for Social Data", IEEE Internet Computing, vol. 20, no.4, pp. 74-78, July-Aug. 2016, doi:10.1109/MIC.2016.86
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.
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