A Semantic Workflow Mechanism to Realise Experimental Goals and Constraints

Edoardo Pignotti; Pete Edwards; Gary Polhill; Nick Gotts; Alun Preece

doi:10.1109/WORKS.2008.4723962

A Semantic Workflow Mechanism to Realise Experimental Goals and Constraints

Edoardo Pignotti, Pete Edwards, Gary Polhill, Nick Gotts, Alun Preece

Macaulay Institute

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

4 Citations (Scopus)

13 Downloads (Pure)

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 language	English
Title of host publication	2008 Third Workshop on Workflows in Support of Large-Scale Science (WORKS 2008)
Publisher	IEEE Explore
Number of pages	10
ISBN (Print)	978-1-4244-2827-4
DOIs	https://doi.org/10.1109/WORKS.2008.4723962
Publication status	Published - 17 Nov 2008
Event	WORKS 2008:Third Workshop on Workflows in Support of Large-Scale Science - Austin, United States Duration: 17 Nov 2008 → 17 Nov 2008

Conference

Conference	WORKS 2008:Third Workshop on Workflows in Support of Large-Scale Science
Country/Territory	United States
City	Austin
Period	17/11/08 → 17/11/08

Keywords

semantic web
workflow
escience
social simulation

Access to Document

10.1109/WORKS.2008.4723962Licence: Unspecified

pignotti-works-08
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Accepted author manuscript, 1.92 MBLicence: Unspecified

Cite this

Pignotti, E, Edwards, P, Polhill, G, Gotts, N & Preece, A 2008, A Semantic Workflow Mechanism to Realise Experimental Goals and Constraints. in 2008 Third Workshop on Workflows in Support of Large-Scale Science (WORKS 2008). IEEE Explore, WORKS 2008:Third Workshop on Workflows in Support of Large-Scale Science , Austin, United States, 17/11/08. https://doi.org/10.1109/WORKS.2008.4723962

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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.",

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N2 - 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.

AB - 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.

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KW - escience

KW - social simulation

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A Semantic Workflow Mechanism to Realise Experimental Goals and Constraints

Abstract

Conference

Keywords

Access to Document

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