Enhancing Workflow with a Semantic Description of Scientific Intent

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

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

9 Citations (Scopus)


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 services. In this paper we will show how Semantic Web technologies can be used to overcome a limitation of current workflow languages by capturing experimental constraints and goals, which we term scientist’s intent. We propose an ontology driven framework for capturing such intent based on workflow metadata combined with SWRL rules. Through the use of an example we will present the key benefits of the proposed framework in terms of enriching workflow output, assisting workflow execution and provenance support. We conclude with a discussion of the issues arising from application of this approach to the domain of social simulation.
Original languageEnglish
Title of host publicationThe Semantic Web Research and Applications
Subtitle of host publicationProceedings of Fifth European Semantic Web Conference (ESWC 2008)
EditorsSean Bechhofer, Manfred Hauswirth, Jorg Hoffmann, Manolis Koubarakis
Number of pages15
ISBN (Electronic)978-3-540-68234-9
ISBN (Print)978-3-540-68233-2
Publication statusPublished - 24 May 2008
Event5th European Semantic Web Conference, ESWC 2008 - Tenerife, Spain
Duration: 1 Jun 20085 Jun 2008

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


Conference5th European Semantic Web Conference, ESWC 2008


  • semantic web
  • workflow
  • eScience
  • social simulation


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