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
Link To Document :
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