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Paper ID: 1393

myGrid
J,Zhao R D,Stevens C J,Wroe M,Greenwood C A,Goble

Appeared in: Proceedings of the UK e-Science All Hands Conference 2004 website: http://www.allhands.org.uk/2004/
Page Numbers:1065 - 1069
Publisher: Engineering and Physical Sciences Research Council
Year: 2004
ISBN/ISSN: 1-904425-21-6
Contributing Organisation(s):
Field of Science: e-Science

URL: http://www.allhands.org.uk/2004/proceedings/papers/207.pdf

Abstract: It is not enough to be able to just run an e-Science in silico experiment; it is also vital to be able to understand and interpret the outputs of those experiments. The results have little value if other scientists, or even the same scientist at a later date, are unable to identify their origin, or provenance. In myGrid, in silico experiments are run as workflows; these produce three kinds of results: data outcomes, knowledge outcomes and provenance about the experiment. These results have a complex interlinking relationship between each other, within the context of the workflow that gave rise to them, as well as across workflows executed in the same or a different study. This poster describes the kind of provenance data recorded in myGrid during a workflow. It introduces myGrid’s provenance data model and the Semantic Web-based technology used to support provenance-based tasks. These tasks include the verification and validation of results; the sharing and annotation of results; and the management of resources. For e-Science to succeed it must have provenance data support as its cornerstone.

Keywords: e-Science, AHM 2004


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