Ontology-based automatic query refinement

Abstract

The effectiveness of user query plays a vital role in retrieving highly relevant documents in keyword-based search engine. Because of the lack of domain knowledge, users tend to post very short queries, which do not express their information need clearly, which reduce the precision and re-call of the search. Ontology-based automatic query refinement system has been proposed to overcome this problem in search engine. This system proposes an ontology-based automatic query refinement model for the exploitation of full-fledged domain ontology to support semantic search in keyword-based search engine. This system formulates effective query using ontology to increase the relevancy of documents retrieved.