Document (#13564)

Author

Jing, Y.
Croft, W.B.

Title

¬An association thesaurus for information retrieval

Source

ftp://128.119.41.114:2241... (UM-CS-19.PS)

Year

199?

Abstract

Although commonly used in both commercial and experimental information retrieval systems, thesauri have not demonstrated consistent benefits for retrieval performance, and it is difficult to construct a thesaurus automatically for large text databases. In this paper, an approach, called PhraseFinder, is proposed to construct collection-dependent association thesauri automatically using large full-text document collections. The association thesaurus can be accessed through natural language queries in INQUERY, an information retrieval system based on the probabilistic inference network. Experiments are conducted in INQUERY to evaluate different types of association thesauri, and thesauri constructed for a variety of collections

Footnote

Text ist abrufbar als PostScript File unter: http://ciir.cs.umass.edu/cgi-bin/web_dbnames/public

Theme

Konzeption und Anwendung des Prinzips Thesaurus

Object

INQUERY

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5. Lin, W.-C.; Chang, Y.-C.; Chen, H.-H.: Integrating textual and visual information for cross-language image retrieval : a trans-media dictionary approach (2007) 0.18

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