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文章基本信息

  • 标题:A Rule-Based Citation System for Structured and Evolving Datasets
  • 本地全文:下载
  • 作者:Peter Buneman ; Gianmaria Silvello
  • 期刊名称:Bulletin of the Technical Committee on Data Engineering
  • 出版年度:2010
  • 卷号:33
  • 期号:03
  • 出版社:IEEE Computer Society
  • 摘要:We consider the requirements that a citation system must fulfill in order to cite structured and evolving data sets. Such a system must take into account variable granularity, context and the temporal dimen- sion. We look at two examples and discuss the possible forms of citation to these data sets. We also describe a rule-based system that generates citations which fulfill these requirements.
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