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.
%0 Conference Paper
%1 pignotti2008enhancing
%A Pignotti, Edoardo
%A Edwards, Peter
%A Preece, Alun
%A Gotts, Nick
%A Polhill, Gary
%B Proceedings of the 5th European Semantic Web Conference
%C Berlin, Heidelberg
%D 2008
%E Hauswirth, Manfred
%E Koubarakis, Manolis
%E Bechhofer, Sean
%I Springer Verlag
%K swrl escience constraints semantic grid workflow semantic-web-services-1
%T Enhancing Workflow with a Semantic Description of Scientist's Intent
%U http://data.semanticweb.org/conference/eswc/2008/papers/12
%X 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.
@inproceedings{pignotti2008enhancing,
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 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.},
added-at = {2008-05-28T14:49:51.000+0200},
address = {Berlin, Heidelberg},
author = {Pignotti, Edoardo and Edwards, Peter and Preece, Alun and Gotts, Nick and Polhill, Gary},
biburl = {https://www.bibsonomy.org/bibtex/258a4f4fc107b1804e5abde807a361c41/eswc2008},
booktitle = {Proceedings of the 5th European Semantic Web Conference},
editor = {Hauswirth, Manfred and Koubarakis, Manolis and Bechhofer, Sean},
interhash = {3e7f06101eac6d9fa40de5e65874dc10},
intrahash = {58a4f4fc107b1804e5abde807a361c41},
keywords = {swrl escience constraints semantic grid workflow semantic-web-services-1},
month = {June},
publisher = {Springer Verlag},
series = {LNCS},
timestamp = {2008-05-28T14:49:51.000+0200},
title = {Enhancing Workflow with a Semantic Description of Scientist's Intent},
url = {http://data.semanticweb.org/conference/eswc/2008/papers/12},
year = 2008
}