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George Mason University

An Extensive Framework for Generating Ontology From Various Data Models

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.

Author and committee

dc:creator, dc:contributor.*
Author
  • Albarrak, Khalid

Subjects

dc:subject × 9

Identifiers

dc:identifier.*
Identifier
hdl:1920/8366
OAI identifier oai:identifier
oai:MARS:1920/8366

Chain of custody

source
Harvested from
George Mason University
Base URL
mars.gmu.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Albarrak, Khalid. An Extensive Framework for Generating Ontology From Various Data Models. 2013.