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Inference networks for document retrieval
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Brussels, Belgium
Pages: 1 - 24  
Year of Publication: 1989
ISBN:0-89791-408-2
Authors
H. Turtle  Computer and Information Science Department, University of Massachusetts, Amherst, MA
W. B. Croft  Computer and Information Science Department, University of Massachusetts, Amherst, MA
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
U. lib de Bruxelles :
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 12,   Downloads (12 Months): 122,   Citation Count: 70
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ABSTRACT

The use of inference networks to support document retrieval is introduced. A network-based retrieval model is described and compared to conventional probabilistic and Boolean models.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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W. Bruce Croft and D. J. Harper. Using probabilistic models of document retrieval without relevance information. Journal of Documentation, 35:285-295, 1979.
 
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C.J. van Rijsbergen. A non-classical logic for information retrieval. Computer Journal, 29(6):481-485, 1986.
 
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Patrick Wilson. Situational relevance. Information Storage and Retrieval, 9:457- 471, 1973.
 
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Lotfi A. Zadeh. The role of fuzzy logic in the management of uncertainty in expert systems. Fuzzy Sets and Systems, 11:199-228, 1983.

CITED BY  70