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Semantic measures are widely used today to estimate the strength of thesemantic relationship between elements of various types: units of language(e.g., words, sentences, documents), concepts or even instances semanticallycharacterized (e.g., diseases, genes, geographical locations). Semanticmeasures play an important role to compare such elements according to semanticproxies: texts and knowledge representations, which support their meaning ordescribe their nature. Semantic measures are therefore essential for designingintelligent agents which will for example take advantage of semantic analysisto mimic human ability to compare abstract or concrete objects. This paperproposes a comprehensive survey of the broad notion of semantic measure for thecomparison of units of language, concepts or instances based on semantic proxyanalyses. Semantic measures generalize the well-known notions of semanticsimilarity, semantic relatedness and semantic distance, which have beenextensively studied by various communities over the last decades (e.g.,Cognitive Sciences, Linguistics, and Artificial Intelligence to mention a few).

Semantic Measures for the Comparison of Units of Language, Concepts or Instances from Text and Knowledge Base Analysis