Efficient Information Retrieval System Based on Semantics

Abstract

Information retrieval consisting of huge number of available documents on the Web makes finding relevant ones a challenging task. The quality of results that traditional keyword-based search provide is still not optimal for many types of user queries. Especially the semantic relation of the user query is handled inadequately by keyword-based search. The semantic based information retrieval can provide a solution for the above mentioned problem. This paper explains how semantic approach can be optimally exploited during the information retrieval process, and proposes a general framework by which efficient information retrieval can be made using semantic web approach. The framework can handle semantic based information retrieval by combining results from various approaches such as tokenization, Stop word removal, semantic checking and information retrieval. This allows integrating results from above mentioned approaches, and thus supports a gradual transition from classical keyword-based search to semantic-based ones.