4.5 Article

Design and implementation of an academic expert system through big data analysis

期刊

JOURNAL OF SUPERCOMPUTING
卷 77, 期 7, 页码 7854-7878

出版社

SPRINGER
DOI: 10.1007/s11227-020-03446-0

关键词

Academic data; Big data; Database; Distributed processing; Expert search; Search

资金

  1. National Research Foundation of Korea (NRF) - Korea government (MSIT) [2019R1A2C2084257, NRF-2017S1A5B8059946]
  2. Institute of Information & Communications Technology Planning & Evaluation (IITP) - Korea government (MSIT) [B0101-15-0266]
  3. AURI (Korea Association of University, Research institute and Industry) - Korea Government (MSS : Ministry of SMEs and Startups) [S2929950]
  4. MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program [IITP-2020-0-01462]
  5. Institute for Information & Communication Technology Planning & Evaluation (IITP), Republic of Korea [2020-0-01462-002] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  6. Ministry of Health & Welfare (MOHW), Republic of Korea [S2929950] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

Researchers establish research directions in new fields through expert advice or papers, but lack expert search services. This paper presents an expert search system based on published papers, calculating expert scores to support researchers' activities.
Most researchers establish research directions in their study of new fields by providing expert advice or publishing expert papers. The existing academic search services display papers by field but do not provide experts by field. Therefore, researchers are left to judge experts in each field by analyzing the papers for themselves. In this paper, we design and implement an expert search system based on papers that have been published in the academic societies. The academic expert search system is based on a big data processing system to handle a large amount of data in academic fields. It calculates an expert score using quality and influence factors. The quality factor is calculated based on the citations, impact factor, and recentness of a paper. The influence factor is measured by the sparsity of a field and the degree of contributiveness of an author. The proposed system provides various services such as expert searches, keyword searches, the hot topics, expert relationships, and academic society statistics. By finding experts in a specific field, our system can support researchers' research activities.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据