An Extensive Framework for Generating Ontology From Various Data Models
Date
2013-08
Authors
Albarrak, Khalid
Journal Title
Journal ISSN
Volume Title
Publisher
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.
Description
Keywords
Information technology, Computer science, Artificial intelligence, Database, Data Models, Ontology, Semantic Computing, Symmetric Relations, Transitive Relations