Toward an improved concept-based information retrieval system

Authors:
Peter V. Henstock;Daniel J. Pack;Young-Suk Lee;Clifford J. Weinstein
Affiliations:
MIT Lincoln Lab., Lexington, MA;United States Air Force Academy;MIT Lincoln Lab., Lexington, MA;MIT Lincoln Lab., Lexington, MA
Venue:
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2001

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Abstract

This paper presents a novel information retrieval system that includes 1) the addition of concepts to facilitate the identification of the correct word sense, 2) a natural language query interface, 3) the inclusion of weights and penalties for proper nouns that build upon the Okapi weighting scheme, and 4) a term clustering technique that exploits the spatial proximity of search terms in a document to further improve the performance. The effectiveness of the system is validated by experimental results.