Ontological Engineering approach of developing Ontology of Information Science. This item is unavailable.Ontological Engineering approach of developing Ontology of Information Science

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.

Dr. Ahlam Sawsaa She received her PhD from University of Huddersfield 2013, and B.S and M.S degree from Benghazi university in Library and Information Science. She is serving as lecture in the Department of Library and Information Science at Benghazi University, and supervisor of many projects of graduate degrees. She is author of a book and more than seven international publication, reviewer in international conferences and journals. She is currently a research visiter at University of Huddersfield. She interested in Ontologies and semantic.