A Semantic Workflow Mechanism to Realize Experimental Goals and Constraints

Edoardo Pignotti, Pete Edwards, J. G. Polhill, Nicholas Gotts, Alun David Preece

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

4 Citations (Scopus)
3 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 scientistpsilas 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 scientistpsilas 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 publicationProceedings of the Third Workshop on Workflows in Support of Large-Scale Science
Subtitle of host publicationWORKS 2008
PublisherIEEE Press
Pages1-10
Number of pages10
ISBN (Print)978-1-4244-2827-4
DOIs
Publication statusPublished - 17 Nov 2008
EventWORKS 2008:Third Workshop on Workflows in Support of Large-Scale Science - Austin, United States
Duration: 17 Nov 200817 Nov 2008

Conference

ConferenceWORKS 2008:Third Workshop on Workflows in Support of Large-Scale Science
CountryUnited States
CityAustin
Period17/11/0817/11/08

Fingerprint

Semantics
Semantic Web
Ontology
Experiments
Monitoring
Chemical analysis

Keywords

  • semantic web
  • workflow
  • escience
  • social simulation

Cite this

Pignotti, E., Edwards, P., Polhill, J. G., Gotts, N., & Preece, A. D. (2008). A Semantic Workflow Mechanism to Realize Experimental Goals and Constraints. In Proceedings of the Third Workshop on Workflows in Support of Large-Scale Science: WORKS 2008 (pp. 1-10). IEEE Press. https://doi.org/10.1109/WORKS.2008.4723962

A Semantic Workflow Mechanism to Realize Experimental Goals and Constraints. / Pignotti, Edoardo; Edwards, Pete; Polhill, J. G.; Gotts, Nicholas; Preece, Alun David.

Proceedings of the Third Workshop on Workflows in Support of Large-Scale Science: WORKS 2008. IEEE Press, 2008. p. 1-10.

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

Pignotti, E, Edwards, P, Polhill, JG, Gotts, N & Preece, AD 2008, A Semantic Workflow Mechanism to Realize Experimental Goals and Constraints. in Proceedings of the Third Workshop on Workflows in Support of Large-Scale Science: WORKS 2008. IEEE Press, pp. 1-10, 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
Pignotti E, Edwards P, Polhill JG, Gotts N, Preece AD. A Semantic Workflow Mechanism to Realize Experimental Goals and Constraints. In Proceedings of the Third Workshop on Workflows in Support of Large-Scale Science: WORKS 2008. IEEE Press. 2008. p. 1-10 https://doi.org/10.1109/WORKS.2008.4723962
Pignotti, Edoardo ; Edwards, Pete ; Polhill, J. G. ; Gotts, Nicholas ; Preece, Alun David. / A Semantic Workflow Mechanism to Realize Experimental Goals and Constraints. Proceedings of the Third Workshop on Workflows in Support of Large-Scale Science: WORKS 2008. IEEE Press, 2008. pp. 1-10
@inproceedings{53bb11fe74674ca6baeaf1a798fe425b,
title = "A Semantic Workflow Mechanism to Realize Experimental Goals and Constraints",
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 scientistpsilas 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 scientistpsilas 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.",
keywords = "semantic web, workflow, escience, social simulation",
author = "Edoardo Pignotti and Pete Edwards and Polhill, {J. G.} and Nicholas Gotts and Preece, {Alun David}",
year = "2008",
month = "11",
day = "17",
doi = "10.1109/WORKS.2008.4723962",
language = "English",
isbn = "978-1-4244-2827-4",
pages = "1--10",
booktitle = "Proceedings of the Third Workshop on Workflows in Support of Large-Scale Science",
publisher = "IEEE Press",

}

TY - GEN

T1 - A Semantic Workflow Mechanism to Realize Experimental Goals and Constraints

AU - Pignotti, Edoardo

AU - Edwards, Pete

AU - Polhill, J. G.

AU - Gotts, Nicholas

AU - Preece, Alun David

PY - 2008/11/17

Y1 - 2008/11/17

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 scientistpsilas 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 scientistpsilas 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 scientistpsilas 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 scientistpsilas 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.

KW - semantic web

KW - workflow

KW - escience

KW - social simulation

U2 - 10.1109/WORKS.2008.4723962

DO - 10.1109/WORKS.2008.4723962

M3 - Conference contribution

SN - 978-1-4244-2827-4

SP - 1

EP - 10

BT - Proceedings of the Third Workshop on Workflows in Support of Large-Scale Science

PB - IEEE Press

ER -