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http://dx.doi.org/10.6109/jkiice.2011.15.3.691

Expert Recommendation System based on XMDR using Social Network  

Joo, Hyo-Sik (광운대학교 컴퓨터과학과)
Hwang, Chi-Gon (광운대학교 컴퓨터과학과)
Shin, Hyo-Young (경복대학 인터넷정보과)
Jung, Gye-Dong (광운대학교 컴퓨터과학과)
Choi, Young-Keun (광운대학교 컴퓨터과학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.15, no.3, 2011 , pp. 691-699 More about this Journal
Abstract
Recently, diverse approaches retrieval services based on social network are suggested. Although existing recommendation systems can retrieve experts of specific fields, profiles and evaluations about experts that users want to be recommended are in a system. The proposed expert recommendation system can automatize collection of evaluation to evaluate experts and experts' profiles in separate systems by using the Knowledge Base and XMDR. We also attempt to construct system which can recommend a number of experts by dynamically constructing Social Network by using diverse resources distributed 로컬ly and composed of heterogeneous data sources. To resolve these problems efficiently, there is a need to provide constructed resources between heterogeneous systems with transparency and independence and provide users with a singular interface. Therefore, the proposed system in this paper uses Knowledge Base and XMDR for extracting distributed experts' profiles and designs expert recommendation system connecting Knowledge Base with Social Network.
Keywords
Social Network; XMDR(eXtended Metadata Registry); Recommedation System; Knowledge Base;
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