Uncertainty and logics : advanced models for the representation and retrieval of information edited by Fabio Crestani; Mounia Lalmas; C J Van Rijsbergen

By:

Crestani, Fabio [ed.]

Contributor(s):

Material type: Text

TextLanguage: English Series: Kluwer international series on information retrievalPublication details: New York : Springer Science, 1998.Description: 323 pages : illustrations; 24 cmISBN:

9781461375708

Subject(s):

DDC classification:

029.7 CRE

Contents:

Part I: Genesis Part II: Logical Models Part III: Uncertainty Models Part IV: Meta-Models

Summary: The use of logic to build IR models enables one to obtain models that are more general than earlier well-known IR models. The choice of an appropriate logic and uncertainty mechanism has been a main research theme in logical IR modeling leading to a number of logical IR models over the years.

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
General Books	CUTN Central Library Generalia	Non-fiction	029.7 CRE (Browse shelf(Opens below))	Available	29956

Part I: Genesis Part II: Logical Models Part III: Uncertainty Models Part IV: Meta-Models

The use of logic to build IR models enables one to obtain models that are more general than earlier well-known IR models. The choice of an appropriate logic and uncertainty mechanism has been a main research theme in logical IR modeling leading to a number of logical IR models over the years.

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