Semantic similarity between words aims at establishing resemblance by interpreting the meaning of the words being compared. The Semantic Web can benefit from semantic similarity in several ways: ontology alignment and merging, automatic ontology construction, semantic-search, to cite a few. Current approaches mostly focus on computing similarity between nouns. The aim of this paper is to define a framework to compute semantic similarity even for other grammar categories such as verbs, adverbs and adjectives. The framework has been implemented on top of WordNet. Extensive experiments confirmed the suitability of this approach in the task of solving English tests. © 2010 Springer-Verlag.
A semantic similarity framework exploiting multiple parts-of speech / Pirró, Giuseppe; Euzenat, Jérôme. - (2010), pp. 1118-1125. (Intervento presentato al convegno 9th International Conference on Ontologies, Databases, and Applications of Semantics tenutosi a Crete) [10.1007/978-3-642-16949-6_33].
A semantic similarity framework exploiting multiple parts-of speech
Pirró, Giuseppe
;
2010
Abstract
Semantic similarity between words aims at establishing resemblance by interpreting the meaning of the words being compared. The Semantic Web can benefit from semantic similarity in several ways: ontology alignment and merging, automatic ontology construction, semantic-search, to cite a few. Current approaches mostly focus on computing similarity between nouns. The aim of this paper is to define a framework to compute semantic similarity even for other grammar categories such as verbs, adverbs and adjectives. The framework has been implemented on top of WordNet. Extensive experiments confirmed the suitability of this approach in the task of solving English tests. © 2010 Springer-Verlag.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
