Semantic Information Retrieval in a Distributed Environment

Efficient Information retrieval is the key goal of semantic web. This technology ameliorates the documents with meta-data in a machine readable markup. Well known semantic search engines such as swoogle¹ or SHOE² use pre-fetched static indexing for efficiently retrieving the requested runtime documents. This paper presents a novel application dependent approach for improving the efficiency and retrieving the content documents based on an ASK type of SPARQL query in a distributed environment. We developed an initial prototype of the system and the performance curve for this approach is discussed in this paper. Observation on the results clearly shows that our approach receives favourable preliminary results.