An Extensive Framework for Generating Ontology From Various Data Models

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dc.contributor.advisorSibley, Edgar H.
dc.contributor.authorAlbarrak, Khalid
dc.creatorAlbarrak, Khalid
dc.date.accessioned2013-08-19T21:16:49Z
dc.date.available2013-08-19T21:16:49Z
dc.date.issued2013-08
dc.description.abstractIn the Information Technology field, Ontology is concerned with the use of formal representation to describe concepts and relationships in a domain of knowledge. Using ontologies, organizations can facilitate processes such as integrating heterogeneous systems, assessing data quality, validating business rules, and discovering hidden facts. Ontology engineering, however, is not a trivial process. Developing ontologies is highly dependent on the availability and knowledge of ontology modelers and domain experts. Moreover, the development process is often lengthy and error-prone.
dc.format.extent267 pages
dc.identifier.urihttps://hdl.handle.net/1920/8366
dc.language.isoen
dc.rightsCopyright 2013 Khalid Albarrak
dc.subjectInformation technology
dc.subjectComputer science
dc.subjectArtificial intelligence
dc.subjectDatabase
dc.subjectData Models
dc.subjectOntology
dc.subjectSemantic Computing
dc.subjectSymmetric Relations
dc.subjectTransitive Relations
dc.titleAn Extensive Framework for Generating Ontology From Various Data Models
dc.typeDissertation
thesis.degree.disciplineInformation Technology
thesis.degree.grantorGeorge Mason University
thesis.degree.levelDoctoral

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