Mason Archival Repository Service

An Extensive Framework for Generating Ontology From Various Data Models

Show simple item record

dc.contributor.advisor Sibley, Edgar H. Albarrak, Khalid
dc.creator Albarrak, Khalid en_US 2013-08-19T21:16:49Z 2013-08-19T21:16:49Z 2013-08 en_US
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 Doctoral en Information Technology en George Mason University en

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search MARS


My Account