Concept Semantic Similarity Computation Based on Ontology and Similar Graph
Xifeng Wang · Computer Technology and Development · 2011
Research on concept semantic similarity computation is one of the most basic and important subjects in artificial intelligence.Referencing the existed concept modeling ideas and tools,a competitive semantic similarity computation method in formal concept analysis between concepts was proposed.By analyzing the traditional computation methods and modifying the problems in them,integrates the ideas of domain ontology and FCA to compute the semantic similarity by the definitions of the similar graph and candidate attributes set.The results of applied case shows the computation results are identical with human subjective judgment.This method is effective for concept semantic similarity computation and get the closest semantics results from users' requests.