Semantic Similarity

Semantic similarity or semantic relatedness is a concept whereby a set of documents or terms within term lists are assigned a metric based on the likeness of their meaning / semantic content.

Concretely, this can be achieved for instance by defining a topological similarity, by using ontologies to define a distance between words (a naive metric for terms arranged as nodes in a directed acyclic graph like a hierarchy would be the minimal distance—in separating edges—between the two term nodes), or using statistical means such as a vector space model to correlate words and textual contexts from a suitable text corpus (co-occurrence).

Read more about Semantic Similarity:  Taxonomy, Visualisation, Software, Web Services

Other articles related to "semantic similarity, semantic, similarity":

Semantic Similarity - Web Services
... Measures of Semantic Relatedness (MRS) WordNet-Similarity, a web interface to WordNet-Similarity UMLS-Similarity, a web interface to UMLS-Similarity ...

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