A Study on Developing and Refining a Large Citation Service System
作者： Kwang-Young Kim , Hwan-Min Kim
DOI: 10.5865/IJKCT.2013.3.1.065
关键词: Scale (social sciences) 、 NoSQL 、 Citation 、 Service system 、 Computer science 、 Rank (computer programming) 、 Citation index 、 Outcome (game theory) 、 Citation analysis 、 Information retrieval
摘要: Today, citation index information is used as an outcome scale of spreading technology and encouraging research. Article important factor to determine the authority relevant author. Google Scholar uses article organize academic search results with a rank algorithm. For accurate analysis such information, large amounts bibliographic data are required. Therefore, this study aims build fast efficient system for data, design develop quickly analyzing cited that data. This also use analyze be basic element providing various advanced services system.
koreascience.or.kr参考文章(5)
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