Workflow Based Service Composition Using Genetic Algorithms
Journal Title: Acta Technica Napocensis- Electronica-Telecomunicatii (Electronics and Telecommunications) - Year 2010, Vol 51, Issue 2
Abstract
One common direction in service oriented computing is to use predefined workflows to compose new services that combine the functionality of existing services. But the problem with this approach is that services can’t be composed for which workflows are not available. We propose a genetic algorithm that combines workflows in order to find the best solution that satisfies a set of objectives formulated using imperative natural language requests. The function that measures how close a solution is to what the user expects from the composed service is a semantic similarity function, called the conceptual distance.
Authors and Affiliations
Florin-Claudiu POP, Marcel CREMENE, Mircea-Florin VAIDA
Keywords
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