Document space adapted ontology: application in query enrichment

  • Authors:
  • Stein L. Tomassen;Jon Atle Gulla;Darijus Strasunskas

  • Affiliations:
  • Department of Computer and Information Science, Norwegian University of Technology and Science, Trondheim, Norway;Department of Computer and Information Science, Norwegian University of Technology and Science, Trondheim, Norway;Department of Computer and Information Science, Norwegian University of Technology and Science, Trondheim, Norway

  • Venue:
  • NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

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.