Abstract | ||
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Automation of Web service composition is one of the most important problems in Web service research area. There are numerous methods to achieve Web service composition. This paper describes the use of Asynchronous Teams (A-Teams) algorithm with genetic agents to compose semantic Web services. Specific agents realize the composition of sequential, parallel and synchronization control flow patterns. Other agents, based on genetic algorithms, perform the crossover and mutation over these patterns. The composition is described through semantic logic rules that take into account the input and output parameters obtained from OWL-S files. The quality of the composition is also evaluated. A system was implemented and typical test scenarios are also presented. |
Year | DOI | Venue |
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2011 | 10.1109/CEC.2011.5949642 | IEEE Congress on Evolutionary Computation |
Keywords | Field | DocType |
Web services,formal logic,genetic algorithms,knowledge representation languages,multi-agent systems,semantic Web,A-Teams algorithm,A-teams,OWL-S files,Web service composition,Web service research area,asynchronous teams algorithm,automatic composition,genetic agents,genetic algorithms,parallel control flow patterns,semantic Web services,semantic logic rules,sequential control flow patterns,synchronization control flow patterns,Asynchronous Teams,Evolutionary Computation,Genetic Algorithms,Semantic Web Services Composition | Computer science,Semantic Web,Multi-agent system,Web modeling,OWL-S,Artificial intelligence,Social Semantic Web,Information retrieval,Data Web,Web service,Database,Machine learning,Semantics | Conference |
ISSN | ISBN | Citations |
Pending | 978-1-4244-7834-7 | 1 |
PageRank | References | Authors |
0.36 | 8 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Neil Paiva Tizzo | 1 | 1 | 0.36 |
Juan Manuel Adán Coello | 2 | 1 | 1.03 |
Eleri Cardozo | 3 | 5 | 1.18 |