Semantic Filtering for Social Data

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.