Towards Automatic Capturing of Semi-structured Process Provenance - Data-Driven Process Discovery and Analysis
Conference Papers Year : 2013

Towards Automatic Capturing of Semi-structured Process Provenance

Andreas Wombacher
  • Function : Author
  • PersonId : 1002437
Mohammad Rezwanul Huq
  • Function : Author
  • PersonId : 1002438

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.
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hal-01474691 , version 1 (23-02-2017)

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Andreas Wombacher, Mohammad Rezwanul Huq. Towards Automatic Capturing of Semi-structured Process Provenance. 2nd International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Jun 2012, Campione d’Italia, Italy. pp.84-99, ⟨10.1007/978-3-642-40919-6_5⟩. ⟨hal-01474691⟩
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