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  • 标题:Data Citation: A New Provenance Challenge
  • 本地全文:下载
  • 作者:Abdussalam Alawini ; Susan Davidson ; Gianmaria Silvello
  • 期刊名称:Bulletin of the Technical Committee on Data Engineering
  • 出版年度:2018
  • 卷号:41
  • 期号:1
  • 页码:27
  • 出版社:IEEE Computer Society
  • 摘要:In today’s era of big data-driven science, an increasing amount of information is being published ascurated online databases and retrieved by queries, raising the question of how query results should becited. Because it is infeasible to associate citation information with every possible query, one approachis to specify citations for a small set of frequent queries – citation views – and then use these views toconstruct a citation for general queries. In this paper, we describe this model of citation views, howthey are used to construct citations for general queries, and an efficient approach to implementing thismodel. We also show the connection between data citation and data provenance.
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