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  • 标题:A Provenance Tracking Model for Data Updates
  • 本地全文:下载
  • 作者:Gabriel Ciobanu ; Ross Horne
  • 期刊名称:Electronic Proceedings in Theoretical Computer Science
  • 电子版ISSN:2075-2180
  • 出版年度:2012
  • 卷号:91
  • 页码:31-44
  • DOI:10.4204/EPTCS.91.3
  • 出版社:Open Publishing Association
  • 摘要:For data-centric systems, provenance tracking is particularly important when the system is open and decentralised, such as the Web of Linked Data. In this paper, a concise but expressive calculus which models data updates is presented. The calculus is used to provide an operational semantics for a system where data and updates interact concurrently. The operational semantics of the calculus also tracks the provenance of data with respect to updates. This provides a new formal semantics extending provenance diagrams which takes into account the execution of processes in a concurrent setting. Moreover, a sound and complete model for the calculus based on ideals of series-parallel DAGs is provided. The notion of provenance introduced can be used as a subjective indicator of the quality of data in concurrent interacting systems.
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