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Semantic Relations and Information Discovery

Cai, Di and van Rijsbergen, C.J. (2005) Semantic Relations and Information Discovery. In: Intelligent Data Mining: Techniques and Applications. Studies in Computational Intelligence, 5 . Springer, London, UK, pp. 79-102. ISBN 9783540262565

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Abstract

The treatment of semantic relations between terms is essential in information retrieval (IR). Each term in a thesaurus might have classes of synonymous, narrower, broader, or related terms. The ability to express formally the semantic relations is a core issue in applying mathematical tools to IR. In the application of evidential theory, particularly, the problems become more apparent since evidential theory is based on set theory and individual terms have to be expressed as subsets of the frame of discernment. Four basic questions are to be faced: How to establish the frame of discernment using a thesaurus? How to express terms using subsets of the frame? How to apply evidential functions to represent documents or queries using the term subset-expressions? What are appropriate agreement measures for ranking documents against a given query? This study attempts to answer these questions.

Item Type: Book Chapter
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Schools: School of Computing and Engineering
School of Computing and Engineering > High-Performance Intelligent Computing
Related URLs:
Depositing User: Di Cai
Date Deposited: 29 Mar 2012 10:19
Last Modified: 17 Apr 2012 10:15
URI: http://eprints.hud.ac.uk/id/eprint/13051

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