@article{Harispe2013,
abstract = {Semantic measures are today widely used to estimate the strength of the semantic relationship between elements of various types: units of language (e.g., words, sentences), concepts or even entities (e.g., documents, genes, geographical locations). They play an important role for the comparison these elements according to semantic proxies, texts and knowledge models (e.g., ontologies), implicitly or formally supporting their meaning or describing their nature. Semantic measures are therefore essential for designing intelligent agents which will use semantic analysis to mimic human ability to compare things. This paper proposes a survey of the broad notion of semantic measure. This notion generalizes the well-known notions of semantic similarity, semantic relatedness and semantic distance, which have been extensively studied by various communities over the last decades (e.g., Cognitive Science, Linguistics, and Artificial Intelli-gence to mention a few). Definitions, practical applications, and the various approaches used for their definitions are presented. In addition, the evaluations of semantic measures, as well as, software solutions dedicated to their computation and analysis are introduced. The general presentation of the large diversity of existing semantic measures is further completed by a detailed survey of measures based on knowledge bases analysis. In this study, we mainly focus on measures which rely on graph analyses, i.e. framed in the relational setting. They are of particular interest for numerous communities and have recently gained a lot of attention in research and application by taking advantage of several types of knowledge bases (e.g., ontologies, semantic graphs) to compare words, concepts, or entities.},
archivePrefix = {arXiv},
arxivId = {1310.1285},
author = {Harispe, S\'{e}bastien and Ranwez, Sylvie and Janaqi, Stefan and Montmain, Jacky},
eprint = {1310.1285},
journal = {ArXiv},
keywords = {SML-LIB-BIBLIO,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
month = oct,
title = {{Semantic Measures for the Comparison of Units of Language, Concepts or Entities from Text and Knowledge Base Analysis}},
url = {http://arxiv-web3.library.cornell.edu/abs/1310.1285},
volume = {1310.1285},
year = {2013}
}