SW-ONTOLOGY - A Proposal for Semantic Modeling of a Scientific Workflow Management System

Wander Gaspar, Laryssa Silva, Regina Braga, Fernanda Campos

Abstract

The execution of scientific experiments based on computer simulations constitutes an important contribution to scientific community. In this sense, the implementation of a scientific workflow can be automated by Scientific Workflow Management Systems, which goal is to provide the orchestration of all processes involved. It aims to capture the semantic related to the implementation of scientific workflows using ontologies that could capture the knowledge involved in these processes. Specifically, we present a prototype of an ontology based on a design pattern called Model View for the representation of knowledge in scientific workflow management systems.

References

  1. Barga, R. S. and Digiampietri, L. A. (2008). Automatic capture and efficient storage of e-science experiment provenance. Concurr. Comput. : Pract. Exper., 20(5):419-429.
  2. Beard, D. A., Britten, R., Cooling, M. T., Garny, A., Halstead, M. D. B., Hunter, P. J., Lawson, J., Lloyd, C. M., Marsh, J., Miller, A., Nickerson, D. P., Nielsen, P. M. F., Nomura, T., Subramanium, S., Wimalaratne, S. M., and Yu, T. (2009). Cellml metadata standards, associated tools and repositories. Physical and Engineering Sciences, 367(1895):1845-1867.
  3. Fox, P., McGuinness, D. L., Cinquini, L., West, P., Garcia, J., Benedict, J. L., and Middleton, D. (2009). Ontology-supported scientific data frameworks: The virtual solar-terrestrial observatory experience. Comput. Geosci., 35(4):724-738.
  4. Gruber, T. R. (1993). A translation approach to portable ontology specifications. Knowl. Acquis., 5(2):199-220.
  5. Hewlett-Packard (2009). Jena semantic web framework.
  6. Horridge, M. (2009). Protégé owl tutorial. Technical Report v.1.2, The University of Manchester.
  7. Ludäscher, B., Altintas, I., Berkley, C., Higgins, D., Jaeger, E., Jones, M., Lee, E. A., Tao, J., and Zhao, Y. (2006). Scientific workflow management and the kepler system. Concurr. Comput. : Pract. Exper., 18(10):1039- 1065.
  8. Matos, E. E., Mendes, L. F., Campos, F., and Braga, R. (2009). Asow-science: a service oriented framework to support e-science applications. In IRI'09: Proceedings of the 10th IEEE international conference on Information Reuse & Integration, pages 53-56, Piscataway, NJ, USA. IEEE Press.
  9. Menager, H. and Lacroix, Z. (2006). A workflow engine for the execution of scientific protocols. In ICDEW 7806: Proceedings of the 22nd International Conference on Data Engineering Workshops, page 68, Washington, DC, USA. IEEE Computer Society.
  10. Oinn, T., Addis, M., Ferris, J., Marvin, D., Carver, T., Pocock, M. R., and Wipat, A. (2004). Taverna: A tool for the composition and enactment of bioinformatics workflows. Bioinformatics, 20:3045-3054.
  11. Oliveira, D. d., Cunha, L., Tomaz, L., Pereira, V., and Mattoso, M. (2009). Using ontologies to support deep water oil exploration scientific workflows. In SERVICES 7809: Proceedings of the 2009 Congress on Services - I, pages 364-367, Washington, DC, USA. IEEE Computer Society.
  12. Palazzi, D., Silva, L., Mendes, L., Gaspar, W., Matos, E., Campos, F., and Braga, R. (2009). Using ontologies in e-science projects (in portuguese). In II Seminar on Ontology Research in Brazil.
  13. Silva, L., Campos, F., and Braga, R. (2009). A framework for semantic composition of scientific workflows. In IADIS'09: Proceedings of the International Conference WWW/Internet.
  14. Sirin, E., Parsia, B., Grau, B. C., Kalyanpur, A., and Katz, Y. (2007). Pellet: A practical OWL-DL reasoner. Web Semantics, 5(2):51-53.
  15. Tsarkov, D. and Horrocks, I. (2006). FaCT++ Description Logic reasoner: System description. In Proc. of the Int. Joint Conf. on Automated Reasoning (IJCAR 2006), volume 4130 of Lecture Notes in Artificial Intelligence, pages 292-297. Springer.
  16. Wolstencroft, K., Alper, P., Hull, D., Wroe, C., Lord, P. W., Stevens, R. D., and Goble, C. A. (2007). The mygrid ontology: bioinformatics service discovery. Int. J. Bioinformatics Res. Appl., 3(3):303-325.
  17. Wroe, C., Goble, C., Goderis, A., Lord, P., Miles, S., Papay, J., Alper, P., and Moreau, L. (2007). Recycling workflows and services through discovery and reuse: Research articles. Concurr. Comput. : Pract. Exper., 19(2):181-194.
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Paper Citation


in Harvard Style

Gaspar W., Silva L., Braga R. and Campos F. (2010). SW-ONTOLOGY - A Proposal for Semantic Modeling of a Scientific Workflow Management System . In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8425-04-1, pages 115-120. DOI: 10.5220/0002865601150120


in Bibtex Style

@conference{iceis10,
author={Wander Gaspar and Laryssa Silva and Regina Braga and Fernanda Campos},
title={SW-ONTOLOGY - A Proposal for Semantic Modeling of a Scientific Workflow Management System},
booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2010},
pages={115-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002865601150120},
isbn={978-989-8425-04-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - SW-ONTOLOGY - A Proposal for Semantic Modeling of a Scientific Workflow Management System
SN - 978-989-8425-04-1
AU - Gaspar W.
AU - Silva L.
AU - Braga R.
AU - Campos F.
PY - 2010
SP - 115
EP - 120
DO - 10.5220/0002865601150120