A Social Network System Based on an Ontology in the Korea Institute of Oriental Medicine

Abstract

We in this paper propose a social network based on ontology in Korea Institute of Oriental Medicine (KIOM). By using the social network, researchers can find collaborators and share research results with others so that studies in Korean Medicine fields can be activated. For this purpose, first, personal profiles, scholarships, careers, licenses, academic activities, research results, and personal connections for all of researchers in KIOM are collected. After relationship and hierarchy among ontology classes and attributes of classes are defined through analyzing the collected information, a social network ontology are constructed using FOAF and OWL. This ontology can be easily interconnected with other social network by FOAF and provide the reasoning based on OWL ontology. In future, we construct the search and reasoning system using the ontology. Moreover, if the social network is activated, we will open it to whole Korean Medicine fields.