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dc.contributor.authorDehkharghani, Rahim
dc.contributor.authorShamsfard, Mehrnoush
dc.date2009-12
dc.date.accessioned2019-09-27T09:35:33Z
dc.date.available2019-09-27T09:35:33Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/9358
dc.description.abstractLexical ontologies are one of the main resources for developing natural language processing and semantic web applications. Mapping lexical ontologies of different languages is very important for inter-lingual tasks. On the other hand mapping approaches can be implied to build lexical ontologies for a new language based on pre-existing resources of other languages. In this paper we propose a semantic approach for mapping Persian words to Princeton WordNet Synsets. As there is no lexical ontology for Persian, our approach helps not only in building one for this language but also enables semantic web applications on Persian documents. To do the mapping, we calculate the similarity of Persian words and English synsets using their features such as super-classes and subclasses, domain and related words. Our approach is an improvement of an existing one applying in a new domain, which increases the recall noticeably.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 01, nº 02
dc.relation.urihttps://ijimai.org/journal/node/7es_ES
dc.rightsopenAccesses_ES
dc.subjectlexical ontologyes_ES
dc.subjectsemantic lexicones_ES
dc.subjectprinceton wordNetes_ES
dc.subjectautomatic mappinges_ES
dc.subjectIJIMAIes_ES
dc.titleMapping Persian Words to WordNet Synsetses_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES


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