Document Space Adapted Ontology: Application in Query Enrichment (2006)
| Venue: | 11th International Conference on Applications of Natural Language to Information Systems (NLDB 2006), LNCS 3999 |
| Citations: | 6 - 4 self |
BibTeX
@INPROCEEDINGS{Tomassen06documentspace,
author = {Stein L. Tomassen and Jon Atle Gulla and Darijus Strasunskas},
title = {Document Space Adapted Ontology: Application in Query Enrichment},
booktitle = {11th International Conference on Applications of Natural Language to Information Systems (NLDB 2006), LNCS 3999},
year = {2006},
pages = {46--57},
publisher = {Springer-Verlag}
}
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Abstract
Abstract. 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. 1
