A Semantic Workflow Mechanism to Realise Experimental Goals and Constraints

Edoardo Pignotti*, Peter Edwards, Gary Polhill, Nick Gotts, Alun Preece

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Workflow technologies provide scientific researchers with a flexible problem-solving environment, by facilitating the creation and execution of experiments from a pool of available services. In this paper we argue that in order to better characterise such experiments we need to go beyond low-level service composition and execution details by capturing higher-level descriptions of the scientific process. Current workflow technologies do not incorporate any representation of such experimental constraints and goals, which we refer to as the scientist's intent. We have developed a framework based upon use of a number of Semantic Web technologies, including the OWL ontology language and the Semantic Web Rule Language (SWRL), to capture scientist's intent. Through the use of a social simulation case study we illustrate the benefits of using this framework in terms of workflow monitoring, workflow provenance and enrichment of experimental results.

Original languageEnglish
Title of host publication2008 Third Workshop on Workflows in Support of Large-Scale Science (WORKS 2008)
PublisherIEEE Explore
Pages76
Number of pages3
ISBN (Print)978-1-4244-2827-4
DOIs
Publication statusPublished - 2008
Event3rd Workshop on Workflows in Support of Large-Scale Science - Austin
Duration: 17 Nov 2008 → …

Conference

Conference3rd Workshop on Workflows in Support of Large-Scale Science
CityAustin
Period17/11/08 → …

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