A Survey on Semantic Similarity Measure

Measuring semantic similarity between concepts is an important problem in web mining and text mining which needs semantic content matching. Semantic similarity has attracted great concern for a long time in artificial intelligence, psychology and cognitive science. Many measures have been proposed. The paper contains a review of the state of art measures including path based measures, information based measures, feature based measures and hybrid measures. The features, performance, advantages, disadvantages and related issues of different measures are discussed. This paper makes a review of semantic similarity measures with various approaches. Index TermSemantic Similarity; Path based measure; depth relative measure; information content based measure; hybrid measure; feature based measure.