An Ontology based Data Model for Iranian Research Information

As the number of researcher increases, the amount of information related to research activities grows rapidly. As a result, the management of this information for better retrieval and analysis has become an important issue. Many data models abroad and within Iran have been developed to address this issue. In this paper, after comparing some of these models, a new ontology based data model is proposed. The evaluation results show that the proposed method increases the performance and the organization of research information management compared to the existing methods.

Keywords:

Research Information , Ontology , IRInO , CERIF , SEMAT , SAED