Ontology has been a subject of many studies carried out in artificial intelligence (AI) and
information system communities. Ontology has become an important component of the semantic web
covering a variety of knowledge domains. Although building domain ontologies still remains a
big challenge with regard to its designing and implementation there are still many areas that
need to create ontologies. Information Science (IS) is one of these areas that need a unified
ontology model to facilitate information access among the heterogeneous data resources and
share a common understanding of the domain knowledge. Recently the development of domain
ontologies has become increasingly important for knowledge level interoperation and information
integration. They provide functional features for AI and knowledge representation. Domain
Ontology is a central foundation of growth for the semantic web that provides a general
knowledge for correspondence and communication among heterogeneous systems. Particularly with a
rise of ontology in the artificial intelligence (AI) domain it can be seen as an almost
inevitable development in computer science and AI in general.
