A deductive data model for query expansion

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A deductive data model for query expansion

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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval table of contents

Zurich, Switzerland

Pages: 235 - 243

Year of Publication: 1996

ISBN:0-89791-792-8

Authors

Kalervo Järvelin	Dept. of Information Studies, University of Tampere, P.O. Box 607, FIN-33101 TAMPERE, Finland
Jaana Kristensen	Dept. of Information Studies, University of Tampere, P.O. Box 607, FIN-33101 TAMPERE, Finland
Timo Niemi	Dept. of Computer Science, University of Tampere, P.O. Box 607, FIN-33101 TAMPERE, Finland
Eero Sormunen	Dept. of Information Studies, University of Tampere, P.O. Box 607, FIN-33101 TAMPERE, Finland
Hiekki Keskustalo	Dept. of Information Studies, University of Tampere, P.O. Box 607, FIN-33101 TAMPERE, Finland

Sponsor

SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 14, Downloads (12 Months): 30, Citation Count: 7

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY 7

	Marios Sintichakis , Panos Constantopoulos, A method for monolingual thesauri merging, ACM SIGIR Forum, v.31 n.SI, p.129-138
	Eero Sormunen, A novel method for the evaluation of Boolean query effectiveness across a wide operational range, Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, p.25-32, July 24-28, 2000, Athens, Greece
	Yangjun Chen , Duren Che , Karl Aberer, On the efficient evaluation of relaxed queries in biological databases, Proceedings of the eleventh international conference on Information and knowledge management, November 04-09, 2002, McLean, Virginia, USA
	Jaana Kekäläinen , Kalervo Järvelin, User-oriented evaluation methods for information retrieval: a case study based on conceptual models for query expansion, Exploring artificial intelligence in the new millennium, Morgan Kaufmann Publishers Inc., San Francisco, CA, 2003
	Jaana Kekäläinen , Kalervo Järvelin, The impact of query structure and query expansion on retrieval performance, Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, p.130-137, August 24-28, 1998, Melbourne, Australia
	Kalervo Järvelin , Jaana Kekäläinen , Timo Niemi, ExpansionTool: Concept-Based Query Expansion and Construction, Information Retrieval, v.4 n.3-4, p.231-255, September-December 2001
	Jaana KekäläInen , Kalervo Järvelin, The Co-Effects of Query Structure and Expansion on RetrievalPerformance in Probabilistic Text Retrieval, Information Retrieval, v.1 n.4, p.329-344, January 2000