Provenance tracking in the ViroLab Virtual Laboratory

Authors
Publication date 2008
Host editors
  • R. Wyrzykowski
  • J. Dongarra
  • K. Karczewski
  • J. Wasniewski
Book title Parallel Processing and Applied Mathematics
Book subtitle 7th International Conference, PPAM 2007, Gdansk, Poland, September 9-12, 2007 : revised selected papers
ISBN
  • 9783540681052
ISBN (electronic)
  • 9783540681113
Series Lecture Notes in Computer Science
Event Seventh International Conference on Parallel Processing and Applied Mathematics (PPAM 2007), Gdansk, Poland
Pages (from-to) 381-390
Publisher Berlin: Springer
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
Provenance describes the process which led to the creation of a piece of data. Tracking provenance of experiment results is essential in modern environments which support conducting of in silico experiments. We present a provenance tracking approach developed as part of the virtual laboratory of the ViroLab project. The applied provenance solution is motivated by the Semantic Grid vision as an infrastructure for e-Science. Provenance data is represented in XML and modeled as ontologies described in the OWL knowledge representation language. The provenance tracking system, PROToS, has been designed and implemented to address important stages of the knowledge management lifecycle.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-540-68111-3_40
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