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dc.contributor.author Prernarathna, PHSR
dc.contributor.author Indrajee, KHH
dc.contributor.author Mahawithana, P
dc.contributor.author De Silva, LYSG
dc.contributor.author Wimalasuriya, DC
dc.date.accessioned 2014-01-16T15:55:37Z
dc.date.available 2014-01-16T15:55:37Z
dc.date.issued 2014-01-16
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/9801
dc.description.abstract This paper presents a model to measure semantic similarity between custom ontology concepts and the taxonomy of WordNet and introduces a new ontology concept similarity measure. The similarity measure is based on a measure of weighted overlap of semantic cotopy of a concept in two taxonomies. The model can be applied to automatically enhance the vocabulary of terms in ontologies embeddingequivalence classes of terms and other linguistic information directly in the ontology. This model is applied to the products and services domain where a Product Ontology is lexically enhanced and the effectiveness of the model is evaluated. en_US
dc.language.iso en en_US
dc.title Lexical enrichment and sense disambiguation of ontology concepts en_US
dc.type Conference-Extended-Abstract en_US
dc.identifier.year 2013 en_US
dc.identifier.conference ITRU Research Symposium - 2013 en_US
dc.identifier.pgnos 13-18 en_US
dc.identifier.proceeding Innovations for the next Generation of IT en_US
dc.identifier.email sasi nda.09@cse.mrt.ac.lk en_US
dc.identifier.email hasinthaindrajee.Ovcscse.mrt.ac.lk en_US
dc.identifier.email pulasthi .09@cse.rnrt.ac.lk en_US
dc.identifier.email sajini.09@cse.mrt.ac.lk en_US
dc.identifier.email chinthana@uom.lk en_US


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