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Semantically linking and browsing provenance logs for e-science

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Published
  • Jun Zhao
  • Carole Goble
  • Robert Stevens
  • Sean Bechhofer
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Publication date2004
Host publicationSemantics of a Networked World. Semantics for Grid Databases: First International IFIP Conference, ICSNW 2004, Paris, France, June 17-19, 2004, Revised Selected Papers
EditorsMokrane Bouzeghoub, Carole Goble, Vipul Kashyap, Stefano Spaccapietra
Place of PublicationBerlin
PublisherSpringer Verlag
Pages158-176
Number of pages19
ISBN (Electronic)9783540301455
ISBN (Print)9783540236092
<mark>Original language</mark>English

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume3226
ISSN (Print)0302-9743

Abstract

e-Science experiments are those performed using computer-based resources such as database searches, simulations or other applications. Like their laboratory based counterparts, the data associated with an e-Science experiment are of reduced value if other scientists are not able to identify the origin, or provenance, of those data. Provenance is the term given to metadata about experiment processes, the derivation paths of data, and the sources and quality of experimental components, which includes the scientists themselves, related literature, etc. Consequently provenance metadata are valuable resources for e-Scientists to repeat experiments, track versions of data and experiment runs, verify experiment results, and as a source of experimental insight. One specific kind of in silico experiment is a workflow. In this paper we describe how we can assemble a Semantic Web of workflow provenance logs that allows a bioinformatician to browse and navigate between experimental components by generating hyperlinks based on semantic annotations associated with them. By associating well-formalized semantics with workflow logs we take a step towards integration of process provenance information and improved knowledge discovery.