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http://dx.doi.org/10.5392/JKCA.2017.17.03.100

Design and Implementation of an Expert Search System Using Academic Data in Big Data Processing Platforms  

Choi, Dojin (충북대학교 정보통신공학과)
Kim, Minsoo (충북대학교 정보통신공학과)
Kim, Daeyun (충북대학교 정보통신공학과)
Lee, Seohee (충북대학교 빅데이터협동과정)
Han, Jinsu (충북대학교 정보통신공학과)
Seo, Indeok (충북대학교 빅데이터협동과정)
Lim, Jongtae (충북대학교 정보통신공학과)
Bok, Kyoungsoo (충북대학교 정보통신공학과)
Yoo, Jaesoo (충북대학교 정보통신공학과)
Publication Information
The Journal of the Korea Contents Association / v.17, no.3, 2017 , pp. 100-114 More about this Journal
Abstract
Most of the researchers establish research directions to conduct the study of new fields by getting advice from experts or through the papers of experts. The existing academic data search services provide paper information by field but do not provide experts by field. Therefore, users should decide experts by field using the searched papers by themselves. In this paper, we design and implement an expert search system by discipline through big data processing based on papers that have been published in the academic societies. The proposed system utilizes distributed big data storage systems to store and manage large papers. We also discriminate experts and analyze data related to the experts by using distributed big data processing technologies. The processed results are provided through web pages when a user searches for experts. The user can get a lot of helps for the research of a particular field since the proposed system recommends the experts of the corresponding research field.
Keywords
Academic Data; Expert; Big Data; Search; Distributed Processing; Database;
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Times Cited By KSCI : 2  (Citation Analysis)
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