Information Extraction by Mining the Semantic Web

In this paper we propose research on how semantic web technologies can be used to mine theweb, for information extraction. We also examine how new unsupervised processes can aid in extractingprecise and useful information from semantic data, thus reducing the problem of information overload .TheSemantic Web adds structure to the meaningful content of Web pages; hence information is given a welldefinedmeaning; which is both human readable as well as machine-processable. This enables thedevelopment of automated intelligent systems, allowing machines to comprehend the semantics of documentsand data. Here we propose techniques for automating the process of search, analysis and categorization ofsemantic data, further we examine how these techniques can aid in improving the efficiency of alreadyexisting information retrieval technologies by implementing reporting functionalities, which is highlighted inthe future work and challenges.