Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/7871
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dc.contributor.authorTami Abdelaziz, Elberrichi Zakaria-
dc.date.accessioned2014-11-23T15:11:24Z-
dc.date.available2014-11-23T15:11:24Z-
dc.date.issued2014-11-23-
dc.identifier.issndmz-
dc.identifier.urihttp://dspace.univ-ouargla.dz/jspui/handle/123456789/7871-
dc.description2émes journées internationales de chimie organométallique et catalyse jicoc’2014en_US
dc.description.abstractOntologies are explicit conceptualization for logic processing specifications. Building ontology is a difficult task. The ability to obtain semantic concepts directly from a language exchange is a new methodology that can help reduce the complexity of the problem. In this paper, we propose a new approach to construct domain ontology from the conceptual data models. This approach takes into account the syntactic and semantic aspects of conceptual data models and uses information retrieval techniques to define a similarity measure calculated based on the basic concepts of the conceptual data models. Thus, we present a methodology for extraction and construction of ontology from the conceptual data models.en_US
dc.language.isoenen_US
dc.relation.ispartofseries2014;-
dc.subjectOntologyen_US
dc.subjectconceptual data modelsen_US
dc.subjectsemantic conceptsen_US
dc.subjectinformation retrievalen_US
dc.subjectsimilarityen_US
dc.titleConstruction of a domain ontology from the conceptual data modelsen_US
dc.typeArticleen_US
Appears in Collections:1. Faculté des mathématiques et des sciences de la matière

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