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.
This work is supported by the European Union through the IST-027446 project ViroLab and by the Foundation for Polish Science within the Domestic Grant for Young Scientists.
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Baliś, B., Bubak, M., Wach, J. (2008). Provenance Tracking in the ViroLab Virtual Laboratory. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2007. Lecture Notes in Computer Science, vol 4967. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68111-3_40
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DOI: https://doi.org/10.1007/978-3-540-68111-3_40
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