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Information Retrieval : Uncertainty and Logics : Advanced Models for the Repr...

Description: Information Retrieval : Uncertainty and Logics : Advanced Models for the Representation and Retrieval of Information, Hardcover by Crestani, Fabio (EDT); Lalmas, Mounia (EDT); Van Rijsbergen, Cornelis Joost (EDT), ISBN 0792383028, ISBN-13 9780792383024, Brand New, Free P&P in the UK 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 c. by Book News, Inc., Portland, Or.

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Information Retrieval : Uncertainty and Logics : Advanced Models for the Repr...

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Book Title: Information Retrieval : Uncertainty and Logics : Advanced Models

Subject Area: Information Science

Item Height: 235 mm

Item Width: 155 mm

Series: The Information Retrieval Series

Author: Mounia Lalmas, Fabio Crestani, Cornelis Joost Van Rijsbergen

Publication Name: Information Retrieval: Uncertainty and Logics: Advanced Models for the Representation and Retrieval of Information

Format: Hardcover

Language: English

Publisher: Springer

Subject: Computer Science, Mathematics

Publication Year: 1998

Type: Textbook

Item Weight: 1490 g

Number of Pages: 323 Pages

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