Document Type : Research Paper

Authors

• leila arabgari ¹
• masoumeh karbalee agha kamran ²
• Zoya Abam ³
• atefeh sharif ⁴

¹ PhD in information science, Faculty of Education and Psychology, Alzahra University, Tehran, Iran

² Associate Professor, Department of Information Science, Faculty of Education and Psychology, Alzahra University, Tehran, Iran

³ Vanak.Tehran

⁴ Assistant Professor, Department of Knowledge and Information Science, Faculty of Management and Economics, Tarbiat Modares University, Tehran

Abstract

The purpose of the research is to design an ontological model of electronic learning objects based on the standard of learning object metadata in the organizational repositories of Iranian universities of medical sciences .
In the research, the observation and survey method was used and the matching of the standard metadata elements of the learning object with the metadata elements of the learning objects in the organizational repositories of the research community was discussed. Then, the questionnaire was provided to the experts to perform the Delphi technique in order to modify and validate the identified elements. Finally based on the identified entities, the ontological model of electronic learning objects was designed based on the learning object metadata standard in the organizational repositories of Iranian medical sciences universities.
The findings showed that the designed ontological model consisting of 162 classes with a total of 189 types of relationships and 2220 samples located in the classes was illustrated.
Based on the identified entities based on the learning object metadata standard, the ontological model of electronic learning objects was designed in the organizational repositories of Iranian universities of medical sciences. The result of ontology is to present a conceptual structure consisting of concepts in an explicit form in a formal format. By applying ontology based on learning object metadata standard in the structure of organizational repositories of medical sciences universities of Iran, it is possible to fix possible errors in the semantic level of data, including improving retrieval and designing intelligent systems.

Keywords

• Organizational repositories
• University of Medical Sciences
• learning object
• learning object metadata
• ontology

Main Subjects

• Semantic Web and Ontology