A Study on Developing and Refining a Large Citation Service System
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초록
Today, citation index information is used as an outcome scale of spreadingtechnology and encouraging research. Article citation information isan important factor to determine the authority of the relevant author. Google Scholar uses the article citation information to organize academicarticle search results with a rank algorithm. For an accurate analysisof such important citation index information, large amounts of bibliographicdata are required. Therefore, this study aims to build a fastand efficient system for large amounts of bibliographic data, and todesign and develop a system for quickly analyzing cited informationfor that data. This study also aims to use and analyze citation datato be a basic element for providing various advanced services to theacademic article search system.
Abstract
Today, citation index information is used as an outcome scale of spreadingtechnology and encouraging research. Article citation information isan important factor to determine the authority of the relevant author. Google Scholar uses the article citation information to organize academicarticle search results with a rank algorithm. For an accurate analysisof such important citation index information, large amounts of bibliographicdata are required. Therefore, this study aims to build a fastand efficient system for large amounts of bibliographic data, and todesign and develop a system for quickly analyzing cited informationfor that data. This study also aims to use and analyze citation datato be a basic element for providing various advanced services to theacademic article search system.
참고문헌 (16)
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- Beel, Joran, "Google Scholar's Ranking Algorithm: The Impact of Citation Counts", International Conference on Information Technology, pp.439~446 (2009)
- The future society and big data, "Jeong, B. K.", NIPA, 13~15 (2011)
- Jung, Eun-Kyoung, "Application and Effect Analysis of DOI based Service for National Academic Information", Proceedings of the Korean Society for Information Management Conference Proceedings of the Korean Society for Information Management Conference, pp.29~32 (2010)
- Jung, Eun-Kyoung, "Application System Plan for Scholarly Information Producer using the result of Cited-by linking based on CrossRef DOI", Proceedings of the Korea Information Processing Society Conference, 18(1), pp.1573~1575 (2011)
- 김지훈, "참조연결을 위한 인용정보 자동추출에 관한 연구", 한국문헌정보학회지, 37(1), pp.247~268 (2003), 한국문헌정보학회
- 고성순, "인용문헌 분석을 이용한 외국학술잡지 이용행태 분석", 한국도서관·정보학회지, 36(1), pp.441~457 (2005), 한국도서관·정보학회
- 이정연, "인용정보를 활용한 학술정보서비스 고도화 전략", Journal of Information Science Theory and Practice, 41(1), pp.43~67 (2010), 한국과학기술정보연구원
- "The CrossRef"[URL]
- "The DBLP"[URL]
- "The KSCI"[URL]
- "The Mongo DB"[URL]
- "The NOSQL"[URL]
- "The Plos One"[URL]
- "The Thomson returers"[URL]
- "The KCI"[URL]