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Using semantic web technologies for representing e-science provenance

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  • Jun Zhao
  • Chris Wroe
  • Carole Goble
  • Robert Stevens
  • Dennis Quan
  • Mark Greenwood
Publication date2004
Host publicationThe Semantic Web--ISWC 2004: Third International Semantic Web Conference, Hiroshima, Japan, November 7-11, 2004. Proceedings
EditorsSheila A. McIlraith, Dimitris Plexousakis, Frank van Harmelen
Place of PublicationBerlin
Number of pages15
ISBN (Electronic)9783540304753
ISBN (Print)9783540237983
<mark>Original language</mark>English

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


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 \scriptsize myGrid 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 \scriptsize myGrid 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.