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NTIS 바로가기디지털콘텐츠학회 논문지 = Journal of Digital Contents Society, v.17 no.6, 2016년, pp.555 - 563
김진영 (Korea Institute of Science and Technology Information (KISTI)) , 이석형 (Korea Institute of Science and Technology Information (KISTI)) , 서동준 (Korea Institute of Science and Technology Information (KISTI)) , 김광영 (Korea Institute of Science and Technology Information (KISTI))
Science and technology contents (research papers, patents, reports) are the most common reference material for researchers involved in research and development in the fields of science and technology. Based on various search elements (title, abstract, keyword, year of publication, name of journal, n...
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Sung Ho Shin, "An Approach of Organization's Name Authority Control for Improving Data Searching Results," Fall Conference, Korean Society for Internet Information, pp.403-407, November 2008.
In-Su Kang, Seungwoo Lee, Hanmin Jung, Pyung Kim, Heekwan Koo, Mi-Kyung Lee, Won-Kyung Sung, and Dong-In Park, "Features for Author Disambiguation," Journal of the Korea Contents Association, Vol.8, No.2, pp.41-47, 2008.
Seok-Hyong Lee and Seung-Jin Kwak, "A Study on the Construction for Name Authority Data of the Korean Academic Papers," Journal of the Korean Biblia Society for Library and Information Science, Vol. 21, No.1, pp.105-118, March 2010.
Seok-Hyong Lee and Seung-Jin Kwak, "Development and Evaluation of Authority Data based Academic Paper Retrieval System," Journal of the Society for Library and Information Science, Vol.46, No.2, pp.133-156, May 2012.
Seok-Hyoung Lee, "A Study on the Construction of Identified Data of Author's Affiliation in Academic Papers," Journal of the Institute for Social Sciences, Vol.25, No.4, pp.391-410, 2014.
Anderson A. Ferreira, Marcos Andre Goncalves and Alberto H. F. Laender, "A Brief Survey of Automatic Methods for Author Name Disambiguation," ACM SIGMOD Record, Vol.41, No.2, pp.15-26, June, 2012.
Emiel Caron and Hennie Daniels, "Identification of Organization Name Variants in Large Databases using Rule-based Scoring and Clustering With a Case Study on the Web of Science Database," In Proc. of the 18th International Conference on Enterprise Information Systems(ICEIS 2016), Vol.1, pp.182-187, 2016.
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