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Published in:
2006 | OriginalPaper | Chapter
Document Space Adapted Ontology: Application in Query Enrichment
Authors : Stein L. Tomassen, Jon Atle Gulla, Darijus Strasunskas
Published in: Natural Language Processing and Information Systems
Publisher: Springer Berlin Heidelberg
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Retrieval of correct and precise information at the right time is essential in knowledge intensive tasks requiring quick decision-making. In this paper, we propose a method for utilizing ontologies to enhance the quality of information retrieval (IR) by query enrichment. We explain how a retrieval system can be tuned by adapting ontologies to provide both an in-depth understanding of the user’s needs as well as an easy integration with standard vector-space retrieval systems. The ontology concepts are adapted to the domain terminology by computing a feature vector for each concept. The feature vector is used to enrich a provided query. The ontology and the whole retrieval system are under development as part of a Semantic Web standardization project for the Norwegian oil and gas industry.