Issue No. 04 - July-Aug. (2016 vol. 20)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2016.86
Amit Sheth , Kno.e.sis Center, Wright State University
Pavan Kapanipathi , Kno.e.sis Center, Wright State University
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.
Twitter, Internet, Encyclopedias, Electronic publishing, Filtering, Knowledge discovery, Information filtering, Social network services, Intelligent systems,information filtering, Internet/Web technologies, social networking, knowledge bases, linked data, intelligent systems
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