The Origin and History of in silico Experiments
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@INPROCEEDINGS{Zhao2004b, author = {Zhao, Jun and Stevens, Robert and Wroe, Christopher and Greenwood, Mark and Goble, Carole}, title = {The Origin and History of in silico Experiments}, booktitle = {All Hands Meeting}, year = {2004}, address = {Nottingham, UK}, month = {September}, 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 = {provenance, taverna}, owner = {alanrw}, timestamp = {2008.09.26}, url = {http://www.allhands.org.uk/2004/proceedings/papers/207.pdf} }
Citation: J. Zhao, R. Stevens, C. Wroe, M. Greenwood, and C. Goble, "The Origin and History of in silico Experiments," in All Hands Meeting, Nottingham, UK, 2004.
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.
