Information Retrieval: Uncertainty and Logics

Information Retrieval: Uncertainty and Logics
Author :
Publisher : Springer Science & Business Media
Total Pages : 362
Release :
ISBN-10 : 0792383028
ISBN-13 : 9780792383024
Rating : 4/5 (024 Downloads)

Book Synopsis Information Retrieval: Uncertainty and Logics by : Fabio Crestani

Download or read book Information Retrieval: Uncertainty and Logics written by Fabio Crestani and published by Springer Science & Business Media. This book was released on 1998-10-31 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of papers proposing, developing, and implementing logical IR models. After an introductory chapter on non-classical logic as the appropriate formalism with which to build IR models, papers are divided into groups on three approaches: logical models, uncertainty models, and meta-models. Topics include preferential models of query by navigation, a logic for multimedia information retrieval, logical imaging and probabilistic information retrieval, and an axiomatic aboutness theory for information retrieval. Can be used as a text for a graduate course on information retrieval or database systems, and as a reference for researchers and practitioners in industry. Annotation copyrighted by Book News, Inc., Portland, OR


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