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Semantic workflow management for e-social science

Pignotti, E., Edwards, P,, Preece, Alun David and Polhill, G. 2007. Semantic workflow management for e-social science. Presented at: The 3rd International Conference on E-Social Science, Ann Arbor. MI, 7-9 October 2007.

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Abstract

In the e-Science context, workflow technologies provide a problem-solving environment for researchers by facilitating the creation and execution of experiments from a pool of available data and computation services. Recent activities in the field of social simulation indicate the need to improve the scientific rigour of agent-based modelling by making simulation experiments more transparent. We argue that in order to characterise such experiments we need to go beyond low-level service composition and execution details by capturing higher-level descriptions of the scientific process making the experiment’s constraints and goals transparent. Current workflow technologies do not incorporate any representation of these goals and conditions, which we call the scientist’s intent. Our hypothesis is that by extending workflow representation in this way, researchers would be able to analyse, verify, execute, monitor and re-use scientific workflows more effectively.

Item Type: Conference or Workshop Item (Paper)
Date Type: Completion
Status: Unpublished
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
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Last Modified: 04 Jun 2017 04:52
URI: http://orca-mwe.cf.ac.uk/id/eprint/45972

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