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Towards Automatic Capturing of Semi-structured Process Provenance

  • Andreas Wombacher
  • Mohammad Rezwanul Huq
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 162)

Abstract

Often data processing is not implemented by a workflow system or an integration application but is performed manually by humans along the lines of a more or less specified procedure. Collecting provenance information in semi-structured processes can not be automated. Further, manual collection of provenance information is error prone and time consuming. Therefore, we propose to infer provenance information based on the file read and write access of users. The derived provenance information is complete, but has a low precision. Therefore, we propose further to introducing organizational guidelines in order to improve the precision of the inferred provenance information.

Keywords

Modify Entry Data Provenance Provenance Information Manual Manipulation Version Control System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© IFIP International Federation for Information Processing 2013

Authors and Affiliations

  • Andreas Wombacher
    • 1
  • Mohammad Rezwanul Huq
    • 1
  1. 1.University of TwenteEnschedeThe Netherlands

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