(Social Semantic) Web Search

We present a system that enables users to query data from the Semantic Web. The system combines methods from the areas of Semantic Web, Information Retrieval, and Social Network Analysis. The system enables users to navigate data from disparate sources in an integrated fashion. We present a prototype implementation. Vast information sources like the Internet are very hard to browse or search, and using existing tools might be sometimes frustrating for many people. A number of techniques has been proposed to deliver user-oriented solutions. In this paper we present how query refinement, collaborative filtering and faceted browsing can be enriched with social networking and semantic web technologies, and brought together in one search and browsing information system. We claim that by introducing social networking and semantically enhanced search and browsing techniques the quality and user-friendliness of the information system is increased compared to classical, keyword-based query processing.