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ACARP: Author-centric analysis of research papers

  • East China Normal University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Scientific publications are an important kind of user-generated content, which contains not only high-quality content but also structures, e.g. citations. Scientific publication analysis has attracted much attention in both database and data mining research community. In this demonstration, we present a system, named as Acarp, for analyzing research papers in database community. The relationship between a research paper and the authors is analyzed based on a learning to rank model. Not only the content of the paper, but also the citation graph is used in the analysis. Acarp can not only guess authors for papers under double-blind reviewing, but also analyze the researchers' continuity and diversity of research. This author-centric analysis could be interesting to researchers and be useful for further studying on double-blind reviewing process.

源语言英语
主期刊名Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, Proceedings
287-294
页数8
版本PART 2
DOI
出版状态已出版 - 2012
活动17th International Conference on Database Systems for Advanced Applications, DASFAA 2012 - Busan, 韩国
期限: 15 4月 201218 4月 2012

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编号PART 2
7239 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议17th International Conference on Database Systems for Advanced Applications, DASFAA 2012
国家/地区韩国
Busan
时期15/04/1218/04/12

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