Ontology based query expansion with a probabilistic retrieval model

Bhogal, J. and Macfarlane, A. (2013) Ontology based query expansion with a probabilistic retrieval model. In: 6th Information Retrieval Facility Conference for Science and Technology, IRFC 2013, 7 October 2013 through 9 October 2013, Limassol; Cyprus.

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Abstract

This paper examines the use of ontologies for defining query context. The information retrieval system used is based on the probabilistic retrieval model. We extend the use of relevance feedback (RFB) and pseudo-relevance feedback (PF) query expansion techniques using information from a news domain ontology. The aim is to assess the impact of the ontology on the query expansion results with respect to recall and precision. We also tested the results for varying the relevance feedback parameters (number of terms or number of documents). The factors which influence the success of ontology based query expansion are outlined. Our findings show that ontology based query expansion has had mixed success. The use of the ontology has vastly increased the number of relevant documents retrieved, however, we conclude that for both types of query expansion, the PF results are better than the RFB results. © 2013 Springer-Verlag.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Okapi, Ontology, Probabilistic Retrieval Model, pseudo-relevance feedback, Query Expansion, relevance feedback, Okapi, Probabilistic retrieval, Pseudo relevance feedback, Query expansion, Relevance feedback, Information retrieval systems, Natural language processing systems, Ontology, Expansion
Subjects: G400 Computer Science
Divisions: UoA Collections > UoA11: Computer Science and Informatics
Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Depositing User: Hussen Farooq
Date Deposited: 04 Aug 2016 12:59
Last Modified: 04 Aug 2016 12:59
URI: http://www.open-access.bcu.ac.uk/id/eprint/2585

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