Concept Semantic Similarity Calculation Based on Bayesian Network
Hongying Chen · Computer and Modernization · 2012
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.