Using Semantic Web Technologies for Representing E-science Provenance

  • Jun Zhao
  • Chris Wroe
  • Carole Goble
  • Robert Stevens
  • Dennis Quan
  • Mark Greenwood
Conference paper

DOI: 10.1007/978-3-540-30475-3_8

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3298)
Cite this paper as:
Zhao J., Wroe C., Goble C., Stevens R., Quan D., Greenwood M. (2004) Using Semantic Web Technologies for Representing E-science Provenance. In: McIlraith S.A., Plexousakis D., van Harmelen F. (eds) The Semantic Web – ISWC 2004. ISWC 2004. Lecture Notes in Computer Science, vol 3298. Springer, Berlin, Heidelberg

Abstract

Life science researchers increasingly rely on the web as a primary source of data, forcing them to apply the same rigor to its use as to an experiment in the laboratory. The \({}^{\mbox{\scriptsize my}}\)Grid project is developing the use of workflows to explicitly capture web-based procedures, and provenance to describe how and why results were produced. Experience within \({}^{\mbox{\scriptsize my}}\)Grid has shown that this provenance metadata is formed from a complex web of heterogenous resources that impact on the production of a result. Therefore we have explored the use of Semantic Web technologies such as RDF, and ontologies to support its representation and used existing initiatives such as Jena and LSID, to generate and store such material. The effective presentation of complex RDF graphs is challenging. Haystack has been used to provide multiple views of provenance metadata that can be further annotated. This work therefore forms a case study showing how existing Semantic Web tools can effectively support the emerging requirements of life science research.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Jun Zhao
    • 1
  • Chris Wroe
    • 1
  • Carole Goble
    • 1
  • Robert Stevens
    • 1
  • Dennis Quan
    • 2
  • Mark Greenwood
    • 1
  1. 1.Department of Computer ScienceUniversity of ManchesterUnited Kingdom
  2. 2.IBM T. J. Watson Research CenterCambridgeUSA

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