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International Provenance and Annotation Workshop

IPAW 2016: Provenance and Annotation of Data and Processes pp 204–208Cite as

Prov2ONE: An Algorithm for Automatically Constructing ProvONE Provenance Graphs

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9672))

Abstract

Provenance traces history within workflows and enables researchers to validate and compare their results. Currently, modelling provenance in ProvONE is an arduous task and lacks an automated approach. This paper introduces a novel algorithm, called Prov2ONE that automatically generates the ProvONE prospective provenance for scientific workflows defined in BPEL4WS. The same prospective ProvONE graph is updated with the relevant retrospective provenance, preventing provenance to be captured in various non-standard provenance models and thus enabling research communities to share, compare and analyze workflows and its associated provenance. Finally, using the Prov2ONE algorithm, a ProvONE provenance graph for the nanoscopy workflow is generated.

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Notes

  1. 1.

    We use the Apache ODE workflow engine, site: http://ode.apache.org/.

  2. 2.

    http://docs.oasis-open.org/wsbpel/2.0/OS/wsbpel-v2.0-OS.html.

  3. 3.

    https://www.arangodb.com/.

References

  1. Cremer, C.: Optics far beyond the diffraction limit. In: Träger, F. (ed.) Handbook of Lasers and Optics, pp. 1359–1397. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  2. Prabhune, A., et al.: An optimized generic client service API for managing large datasets within a data repository. In: IEEE BigDataService, pp. 44–51. IEEE (2015)

    Google Scholar 

  3. Cuevas-Vicenttín, V., et al.: ProvONE: A Prov Extension Data Model for Scientific Workflow Provenance (2015). http://purl.org/provone

  4. Freire, J., Koop, D., Santos, E., Silva, C.T.: Provenance for computational tasks: a survey. Comput. Sci. Eng. 10(3), 11–21 (2008)

    Article  Google Scholar 

  5. Moreau, L.: The specification, open provenance model core (v1. 1). Future Gener. Comput. Syst. 27(6), 743–756 (2011)

    Article  MathSciNet  Google Scholar 

  6. Moreau, L., Missier, P., et al. (eds.): PROV-DM: The PROV Data Model. W3C Recommendation (2013). http://www.w3.org/TR/prov-dm/

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Author information

Authors and Affiliations

  1. Institute for Data Processing and Electronics, Karslruhe Institute of Technology, Karlsruhe, Germany

    Ajinkya Prabhune, Aaron Zweig & Rainer Stotzka

  2. Institute of Computer Science, Heidelberg University, Heidelberg, Germany

    Michael Gertz

  3. Department of Radiation Oncology, Heidelberg University, Heidelberg, Germany

    Juergen Hesser

Authors
  1. Ajinkya Prabhune
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  2. Aaron Zweig
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  3. Rainer Stotzka
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  4. Michael Gertz
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  5. Juergen Hesser
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Corresponding author

Correspondence to Ajinkya Prabhune .

Editor information

Editors and Affiliations

  1. COPPE/UFRJ, Rio de Janeiro, Brazil

    Marta Mattoso

  2. Illinois Institute of Technology, Chicago, Illinois, USA

    Boris Glavic

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© 2016 Springer International Publishing Switzerland

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Cite this paper

Prabhune, A., Zweig, A., Stotzka, R., Gertz, M., Hesser, J. (2016). Prov2ONE: An Algorithm for Automatically Constructing ProvONE Provenance Graphs. In: Mattoso, M., Glavic, B. (eds) Provenance and Annotation of Data and Processes. IPAW 2016. Lecture Notes in Computer Science(), vol 9672. Springer, Cham. https://doi.org/10.1007/978-3-319-40593-3_22

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  • DOI: https://doi.org/10.1007/978-3-319-40593-3_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40592-6

  • Online ISBN: 978-3-319-40593-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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