Concept Semantic Similarity Calculation Based on Bayesian Network

doi:10.3969/j.issn.1006-2475.2012.09.017

Computer and Modernization ›› 2012, Vol. 1 ›› Issue (9): 65-68,1.doi: 10.3969/j.issn.1006-2475.2012.09.017

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Concept Semantic Similarity Calculation Based on Bayesian Network

WANG Tao, CHEN Hong-ying

School of Computer, South China Normal University, Guangzhou 510631, China

Received:2012-03-28 Revised:1900-01-01 Online:2012-09-21 Published:2012-09-21

Abstract

Abstract: Concept semantic similarity is an important content in knowledge representation and information retrieval, and a critical part in natural language processing, also a problem to be solved in the field of artificial intelligence. This article is about improving traditional similarity calculation model on the basis of ontology, and puts forward a kind of probability reasoning method to improve effect that is the calculation of the semantic distance between concepts, in order to perfect result about semantic similarity calculation model, meanwhile, uses D-separation to solve computational complexity in the reasoning process.

Key words: ontology, semantic similarity, Bayesian network, probabilistic reasoning, D-separation

WANG Tao;CHEN Hong-ying. Concept Semantic Similarity Calculation Based on Bayesian Network[J]. Computer and Modernization, 2012, 1(9): 65-68,1.

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