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Ontology-driven semantic ranking for natural language disambiguation in the ontoNL framework

Christodoulakis Stavros, Anastasia Karanastasi

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URIhttp://purl.tuc.gr/dl/dias/E8C78940-8BA8-4986-AF22-2101D5989FDC-
Identifierhttps://doi.org/10.1007/978-3-540-72667-8_32-
Languageen-
Extent15 pagesen
TitleOntology-driven semantic ranking for natural language disambiguation in the ontoNL frameworken
CreatorChristodoulakis Stavrosen
CreatorΧριστοδουλακης Σταυροςel
CreatorAnastasia Karanastasien
PublisherSpringer Verlagen
Content SummaryThe measurement of the semantic relatedness has many applications in natural language processing, and many different measures have been proposed. Most of these measures use WordNet as their central resource and not domain ontologies of a particular context. We propose and evaluate a semantic relatedness measure for OWL domain ontologies that concludes to the semantic ranking of ontological, grammatically-related structures. This procedure is used to disambiguate in a particular domain of context and represent in an ontology query language, natural language expressions. The ontology query language that we use is the SPARQL. The construction of the queries is automated and also dependent on the semantic relatedness measurement of ontology concepts. The methodology has been successfully integrated into the OntoNL Framework, a natural language interface generator for knowledge repositories. The experimentations show a good performance in a number of OWL ontologies. en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-04-
Date of Publication2007-
SubjectThe OntoNL Semantic Disambiguation Algorithmen
Bibliographic CitationA. Karanastasi , S. Christodoulakis , "Ontology-driven semantic ranking for natural language disambiguation in the ontoNL framework ", in 2007 4th Eur. Sem. Web Conf. (ESWC) ,pp.443-457 .doi :10.1007/978-3-540-72667-8_32en

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