Automatic composition of semantic web services using A-Teams with genetic agents

Author

Tizzo, Neil Paiva ; Coello, Juan Manuel Adán ; Cardozo, Eleri

Author_Institution

PUC Minas, Pocos de Caldas, Brazil

fYear

2011

fDate

5-8 June 2011

Firstpage

370

Lastpage

377

Abstract

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.

Keywords

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; Concrete; Genetics; Quality of service; Semantic Web; Semantics; Synchronization; Web services; Asynchronous Teams; Evolutionary Computation; Genetic Algorithms; Semantic Web Services Composition;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation (CEC), 2011 IEEE Congress on

Conference_Location

New Orleans, LA

ISSN

Pending

Print_ISBN

978-1-4244-7834-7

Type

conf

DOI

10.1109/CEC.2011.5949642

Filename

5949642