DocumentCode
3255707
Title
Integrating semantic inference in a probabilistic approach to information retrieval. II
Author
Nie, Jim-Yun
Author_Institution
Dept. of Comput. Sci. & Oper. Res., Montreal Univ., Que., Canada
fYear
1992
fDate
28-30 May 1992
Firstpage
270
Lastpage
273
Abstract
For pt. I see Proc. of ICCI 1992 Conf. (1992). Semantic-based approaches and probabilistic approaches are actually used in information retrieval separately. Their integration allows the semantic-based approach to be endowed with a well-founded theoretic background, and the probabilistic approach to be evaluated with semantic consideration. The paper demonstrates that such an integration is sound theoretically. Using several concepts developed in the study of subjunctive conditionals, a modal logic model is proposed which is capable of describing the approach suggested in part I, and it is proved to be a probabilistic model
Keywords
database theory; inference mechanisms; information retrieval; probabilistic logic; information retrieval; modal logic; probabilistic model; semantic inference; subjunctive conditionals; Computer science; Cost accounting; Information retrieval; Operations research; Optical imaging; Probabilistic logic;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing and Information, 1992. Proceedings. ICCI '92., Fourth International Conference on
Conference_Location
Toronto, Ont.
Print_ISBN
0-8186-2812-X
Type
conf
DOI
10.1109/ICCI.1992.227657
Filename
227657
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