An outline of a general model for information retrieval systems

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An outline of a general model for information retrieval systems

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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval table of contents

Grenoble, France

Pages: 495 - 506

Year of Publication: 1988

ISBN:2-7061-0309-4

Author

J. Nie

Laboratoire Génie Informatique - IMAG, BP.53X - 38401 Grenoble Cedex, France

Sponsor

SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 7, Downloads (12 Months): 31, Citation Count: 15

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ABSTRACT

This paper is a contribution to the construction of a general model for information retrieval. As in the paper of Van Rijsbergen ([RIJ86]), the implicit base in all information retrieval systems is considered as a logical implication. The measure of correspondence between a document and a query is transformed into the estimation of the strength (or certainty) of logical implication. The modal logics will show its suitability for representing the behavior of information retrieval systems. In existing Information Retrieval models, several aspects are often mixed. A part of this paper is contributed to separate these aspects to give a clearer view of information retrieval systems. This general model is also compared with some existing models to show its generality.

CITED BY 15

	Jian-Yun Nie, Towards a probabilistic modal logic for semantic-based information retrieval, Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval, p.140-151, June 21-24, 1992, Copenhagen, Denmark
	Y. Chiaramella , J. Nie, A retrieval model based on an extended modal logic and its application to the RIME experimental approach, Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval, p.25-43, September 05-07, 1990, Brussels, Belgium
	F. Crestani , C. J. van Rijsbergen, Probability kinematics in information retrieval, Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval, p.291-299, July 09-13, 1995, Seattle, Washington, United States
	Fabio Crestani , Mounia Lalmas , Cornelis J. Van Rijsbergen , Iain Campbell, “Is this document relevant?…probably”: a survey of probabilistic models in information retrieval, ACM Computing Surveys (CSUR), v.30 n.4, p.528-552, Dec. 1998
	Fabio Crestani , Mounia Lalmas, Logic and uncertainty in information retrieval, Lectures on information retrieval, Springer-Verlag New York, Inc., New York, NY, 2001
	P. D. Bruza , T. W. C. Huibers, Investigating aboutness axioms using information fields, Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval, p.112-121, July 03-06, 1994, Dublin, Ireland
	Saliha Smadhi, System of information retrieval in XML documents, Effective databases for text & document management, Idea Group Publishing, Hershey, PA, 2003
	P. D. Bruza , T. P. van der Weide, The modelling and retrieval of documents using index expressions, ACM SIGIR Forum, v.25 n.2, p.91-103, Fall 1991
	Raymond Y.K. Lau , Peter D. Bruza , Dawei Song, Belief revision for adaptive information retrieval, Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, July 25-29, 2004, Sheffield, United Kingdom
	Fabio Crestani, Using semantic and phonetic term similarity for spoken document retrieval and spoken query processing, Technologies for constructing intelligent systems: Tasks, Physica-Verlag GmbH, Heidelberg, Germany, 2002
	Fabio Crestani , Mounia Lalmas, Logical and uncertainty models for information access: current trends, The Knowledge Engineering Review, v.15 n.2, p.171-179, June 2000
	Fabio Crestani, Exploiting the Similarity of Non-Matching Terms at RetrievalTime, Information Retrieval, v.2 n.1, p.27-47, February 2000
	Rallou Thomopoulos , Patrice Buche , Ollivier Haemmerle, Fuzzy Sets Defined on a Hierarchical Domain, IEEE Transactions on Knowledge and Data Engineering, v.18 n.10, p.1397-1410, October 2006
	Raymond Y. K. Lau , Peter D. Bruza , Dawei Song, Towards a belief-revision-based adaptive and context-sensitive information retrieval system, ACM Transactions on Information Systems (TOIS), v.26 n.2, p.1-38, March 2008
	Mohammed Belkhatir, An operational model based on knowledge representation for querying the image content with concepts and relations, Multimedia Tools and Applications, v.43 n.1, p.1-23, May 2009