Towards automatic capturing of semi-structured process provenance

Andreas Wombacher, M.R. Huq

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

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.
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
PublisherSpringer
Pages84-99
Number of pages16
ISBN (Print)9783642409189
DOIs
Publication statusPublished - 2013

Publication series

NameLecture notes in business information processing
Number162
Volume162
ISSN (Print)1865-1348

Keywords

  • METIS-298499

Cite this

Wombacher, A., & Huq, M. R. (2013). Towards automatic capturing of semi-structured process provenance. In P. Cudré-Mauroux, P. Ceravolo, & D. Gasevic (Eds.), Data-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 (pp. 84-99). (Lecture notes in business information processing; Vol. 162, No. 162). Berlin: Springer. https://doi.org/10.1007/978-3-642-40919-6_5
Wombacher, Andreas ; Huq, M.R. / Towards automatic capturing of semi-structured process provenance. Data-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. editor / Philippe Cudré-Mauroux ; Paolo Ceravolo ; Dragan Gasevic. Berlin : Springer, 2013. pp. 84-99 (Lecture notes in business information processing; 162).
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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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Wombacher, A & Huq, MR 2013, Towards automatic capturing of semi-structured process provenance. in P Cudré-Mauroux, P Ceravolo & D Gasevic (eds), Data-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. Lecture notes in business information processing, no. 162, vol. 162, Springer, Berlin, pp. 84-99. https://doi.org/10.1007/978-3-642-40919-6_5

Towards automatic capturing of semi-structured process provenance. / Wombacher, Andreas; Huq, M.R.

Data-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. ed. / Philippe Cudré-Mauroux; Paolo Ceravolo; Dragan Gasevic. Berlin : Springer, 2013. p. 84-99 (Lecture notes in business information processing; Vol. 162, No. 162).

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

TY - CHAP

T1 - Towards automatic capturing of semi-structured process provenance

AU - Wombacher, Andreas

AU - Huq, M.R.

PY - 2013

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AB - 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.

KW - METIS-298499

U2 - 10.1007/978-3-642-40919-6_5

DO - 10.1007/978-3-642-40919-6_5

M3 - Chapter

SN - 9783642409189

T3 - Lecture notes in business information processing

SP - 84

EP - 99

BT - Data-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

A2 - Cudré-Mauroux, Philippe

A2 - Ceravolo, Paolo

A2 - Gasevic, Dragan

PB - Springer

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Wombacher A, Huq MR. Towards automatic capturing of semi-structured process provenance. In Cudré-Mauroux P, Ceravolo P, Gasevic D, editors, Data-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. Berlin: Springer. 2013. p. 84-99. (Lecture notes in business information processing; 162). https://doi.org/10.1007/978-3-642-40919-6_5