Semi-automatic composition of ontologies for ASKALON grid workflows

Authors:
Muhammad Junaid Malik;Thomas Fahringer;Radu Prodan
Affiliations:
Institute of Computer Science, University of Innsbruck, Innsbruck, Austria;Institute of Computer Science, University of Innsbruck, Innsbruck, Austria;Institute of Computer Science, University of Innsbruck, Innsbruck, Austria
Venue:
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing
Year:
2011

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Abstract

Automatic workflow composition with the help of ontologies has been addressed by numerous researchers in the past. While ontologies are very useful for automatic and semiautomatic workflow composition, ontology creation itself remains a very important and complex task. In this paper we present a novel tool to synthesize ontologies for the Abstract Grid Workflow Language (AGWL) which has been used for years to successfully create Grid workflow applications at a high level of abstraction. In order to semi-automatically generate ontologies we use an AGWL Ontology (AGWO - an ontological description of the AGWL language), structural information of one or several input workflows of a given application domain, and semantic enrichment of the structural information with the help of the user. Experiments based on two separate application domains (movie rendering and meteorology) will be shown that demonstrate the effectiveness of our approach by semi-automatically generating ontologies which are then used to automatically create workflow applications.