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European Conference on Parallel Processing

Euro-Par 2011: Euro-Par 2011: Parallel Processing Workshops pp 169–180Cite as

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Semi-automatic Composition of Ontologies for ASKALON Grid Workflows

Semi-automatic Composition of Ontologies for ASKALON Grid Workflows

  • Muhammad Junaid Malik30,
  • Thomas Fahringer30 &
  • Radu Prodan30 
  • Conference paper
  • 1316 Accesses

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7155)

Abstract

Automatic workflow composition with the help of ontologies has been addressed by numerous researchers in the past. While ontologies are very useful for automatic and semiautomatic workflow composition, ontology creation itself remains a very important and complex task.

In this paper we present a novel tool to synthesize ontologies for the Abstract Grid Workflow Language (AGWL) which has been used for years to successfully create Grid workflow applications at a high level of abstraction. In order to semi-automatically generate ontologies we use an AGWL Ontology (AGWO - an ontological description of the AGWL language), structural information of one or several input workflows of a given application domain, and semantic enrichment of the structural information with the help of the user. Experiments based on two separate application domains (movie rendering and meteorology) will be shown that demonstrate the effectiveness of our approach by semi-automatically generating ontologies which are then used to automatically create workflow applications.

Keywords

  • Domain Ontology
  • Ontology Alignment
  • Semantic Enrichment
  • Ontology Evaluation
  • Activity Convert

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.

This research is partially funded by the “Tiroler Zukunftsstiftung”, Project name: “Parallel Computing with Java for Manycore Computers” and by the European Union under grant agreement number 261585/SHIWA project.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, University of Innsbruck, Technikerstraße 21a, A-6020, Innsbruck, Austria

    Muhammad Junaid Malik, Thomas Fahringer & Radu Prodan

Authors
  1. Muhammad Junaid Malik
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  2. Thomas Fahringer
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  3. Radu Prodan
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Editor information

Editors and Affiliations

  1. Scilytics, Koellnerhofgasse 3/15A, 1010, Vienna, Austria

    Michael Alexander

  2. ICAR-CNR, Via P. Castellino, 111, 80131, Napoli, Italy

    Pasqua D’Ambra

  3. University of Amsterdam, 1090, Amsterdam, Netherlands

    Adam Belloum

  4. Innovative Computing Laboratory, The University of Tennessee, USA

    George Bosilca

  5. Department of Experimental Medicine and Clinic, University Magna Græcia, 88100, Catanzaro, Italy

    Mario Cannataro

  6. Computer Science Department, University of Pisa, Italy

    Marco Danelutto

  7. Second University of Naples, Italy

    Beniamino Di Martino

  8. TU München, Boltzmannstr. 3, 85748, Garching, Germany

    Michael Gerndt

  9. Equipe Runtime, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Emmanuel Jeannot & Raymond Namyst & 

  10. Equipe HIEPACS, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Jean Roman

  11. Oak Ridge National Laboratory, Computer Science and Mathematics Division, 37831-6164, Oak Ridge, TN, USA

    Stephen L. Scott

  12. Department of Scientific Computing, University of Vienna, Nordbergstr. 15/3C, 1090, Vienna, Austrial

    Jesper Larsson Traff

  13. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA

    Geoffroy Vallée

  14. Technische Universität München, Germany

    Josef Weidendorfer

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© 2012 Springer-Verlag Berlin Heidelberg

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Malik, M.J., Fahringer, T., Prodan, R. (2012). Semi-automatic Composition of Ontologies for ASKALON Grid Workflows. In: Alexander, M., et al. Euro-Par 2011: Parallel Processing Workshops. Euro-Par 2011. Lecture Notes in Computer Science, vol 7155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29737-3_20

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  • DOI: https://doi.org/10.1007/978-3-642-29737-3_20

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  • Print ISBN: 978-3-642-29736-6

  • Online ISBN: 978-3-642-29737-3

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