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An Extensive Framework for Generating Ontology From Various Data Models

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dc.contributor.advisor Sibley, Edgar H.
dc.contributor.author Albarrak, Khalid
dc.creator Albarrak, Khalid en_US
dc.date.accessioned 2013-08-19T21:16:49Z
dc.date.available 2013-08-19T21:16:49Z
dc.date.issued 2013-08 en_US
dc.identifier.uri https://hdl.handle.net/1920/8366
dc.description.abstract In 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.extent 267 pages en_US
dc.language.iso en en_US
dc.rights Copyright 2013 Khalid Albarrak en_US
dc.subject Information technology en_US
dc.subject Computer science en_US
dc.subject Artificial intelligence en_US
dc.subject Database en_US
dc.subject Data Models en_US
dc.subject Ontology en_US
dc.subject Semantic Computing en_US
dc.subject Symmetric Relations en_US
dc.subject Transitive Relations en_US
dc.title An Extensive Framework for Generating Ontology From Various Data Models en_US
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Information Technology en
thesis.degree.grantor George Mason University en


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