01899nas a2200229   4500008004100000245009100041210006900132260000900201300001400210490000600224520117600230653002101406653000901427653001301436653001401449653001201463100002101475700001601496700002001512700002001532856011701552       2006                        eng d00aX-Similarity: Computing Semantic Similarity between concepts from different ontologies0 aXSimilarity Computing Semantic Similarity between concepts from   c2006  a233 - 2370 v43 aSemantic Similarity relates to computing the similarity between concepts (terms) which are not necessarily lexically similar. We investigate approaches for computing semantic similarity by mapping terms to an ontology and by examining their relationships in that ontology. More specifically, we investigate approaches to computing the semantic similarity between natural language terms (using WordNet as the underlying reference ontology) and between medical terms (using the MeSH ontology of medical and biomedical terms). The most popular semantic similarity methods are implemented and evaluated using WordNet and MeSH. The focus of this work is also on cross ontology methods which are capable of computing the semantic similarity between terms stemming from different ontologies (WordNet and MeSH in this work). This is a far more difficult problem (than the single ontology one referred to above) which has not been investigated adequately in the literature. X-Similarity, a novel cross-ontology similarity method is also a contribution of this work. All methods examined in this work are integrated into a semantic similarity system which is accessible on the Web.10aContent analysis10aMeSH10aOntology10aSemantics10aWordNet1 aPetrakis, E.G.M.1 aVarelas, G.1 aHliaoutakis, A.1 aRaftopoulou, P.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-33845952568&partnerID=40&md5=5bd213d7f778b7c4e7b32133f4b456f8