Ontology Driven Query Expansion for Better Image Retrieval

As more information becomes available on the Web it is more difficult to provide effective search services for Internet users. Since, it is assumed that users do not always formulate search queries using the best terms. So, search engines invoke query expansion to increase the quality of user search results. Query expansion is useful in reducing query/document mismatch by expanding the query using words or phrases with a similar meaning or some other statistical relation to the set of relevant documents. This paper proposes an approach for ontology driven query expansion for better image retrieval. In this work the association rules; generated by mining web logs and WorldNet have been used for query expansion process. Further, an algorithm has been proposed and the performance has been measured.