Towards automatic capturing of semi-structured process provenance

Andreas Wombacher, M.R. Huq

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review


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.
Original languageEnglish
Title of host publicationData-driven process discovery and analysis : second IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2012, Campione d'Italia, Italy, June 18-20, 2012 : revised selected papers
EditorsPhilippe Cudré-Mauroux, Paolo Ceravolo, Dragan Gasevic
Place of PublicationBerlin
Number of pages16
ISBN (Print)9783642409189
Publication statusPublished - 2013

Publication series

NameLecture notes in business information processing
ISSN (Print)1865-1348


  • METIS-298499


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