Semantic Query Expansion using Cluster Based Domain Ontologies

Abstract

Information on the web has been growing at a very rapid pace and has become quite voluminous over the past few years. The users search query on the web could not retrieve sufficient relevant documents and is responsible for low precision of search results. To improve the precision of search results, an algorithm is proposed in this paper for semantic query expansion using domain ontology based on clustered web query sessions. Domain ontology is created for each cluster of query sessions. The input query of a user is used to select the most similar cluster. The domain ontology of the selected cluster is used to suggest the related concepts for query expansion and the expanded query is used for information retrieval to test its effectiveness. The experiment was conducted on the captured user query sessions on the web and results prove the efficacy of the proposed approach.