The Expert Search System using keyword association based on Multi-Ontology
멀티 온톨로지 기반의 키워드 연관성을 이용한 전문가 검색 시스템

Kye-Dong Jung, Chi-Gon Hwang, Young-Keun Choi
2012 The Journal of the Korean Institute of Information and Communication Engineering  
This study constructs an expert search system which has a mutual cooperation function based on thesis and author profile. The proposed methodology is as follows. First, we propose weighting method which can search a keyword and the most relevant keyword. Second, we propose a method which can search the experts efficiently with this weighting method. On the preferential basis, keywords and author profiles are extracted from the papers, and experts can be searched through this method. This system
more » ... will be available to many fields of social network. However, this information is distributed to many systems. We propose a method using multi-ontology to integrate distributed data. The multi-ontology is composed of meta ontology, instance ontology, location ontology and association ontology. The association ontology is constructed through analysis of keyword association dynamically. An expert network is constructed using this multi-ontology, and this expert network can search expert through association trace of keyword. The expert network can check the detail area of expertise through the research list which is provided by the system. 키워드 소셜 네트워크, 멀티 온톨로지, 연관 온톨로지, 전문가 망, XMDR(eXtended MetaData Repository)
doi:10.6109/jkiice.2012.16.1.183 fatcat:olga6loi7ngpbo4m5cypm6exma