Semantic Composition of Scientific Workflows Based on the Petri Nets Formalism
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
An XML-based framework for loosely coupled applications on grid environments
ICCS'03 Proceedings of the 1st international conference on Computational science: PartI
A grid workflow language using high-level petri nets
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Comparison of workflow scheduling strategies on the grid
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Semantic tools for workflow construction
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Semantically-Aided Data-Aware Service Workflow Composition
SOFSEM '09 Proceedings of the 35th Conference on Current Trends in Theory and Practice of Computer Science
Managing data dependencies in service compositions
Journal of Systems and Software
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Many papers, research projects, and software products have tackled the problem of automatic composition of a workflow of computer processes, which computes certain data or performs a specific task. In recent years this has also gained popularity in grid computing, especially in connection with semantic description of resources usable in the workflow. However, most of the works dealing with semantically-aided workflow composition propose solutions only for workflows of processes, without the data necessary to execute them. We describe the design of a system, which will be able to find not only the processes, but also the content for their execution, based solely on the list of available resources and a description of the required target of the workflow. The solution is based on our previous work in the project K-Wf Grid, utilizes semantic description of resources by means of ontologies, and operates on a SOA-based grid composed of web services. It is being developed in the context of a project called SEMCO-WS.