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dc.contributor.authorAggarwal, Rohit
dc.date.accessioned2014-03-03T21:22:04Z
dc.date.available2014-03-03T21:22:04Z
dc.date.issued2004-08
dc.identifier.otheraggarwal_rohit_200408_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/aggarwal_rohit_200408_ms
dc.identifier.urihttp://hdl.handle.net/10724/21741
dc.description.abstractCreating Web processes using Web service technology gives us the opportunity for selecting new services which best suit our need at the moment. Doing this automatically would require us to quantify our criteria for selection. In addition, there are challenging issues of correctness and optimality. We present a Constraint Driven Web Service Composition tool in METEOR-S, which allows the process designers to bind Web Services to an abstract process, based on business and process constraints and generate an executable process. Our approach is to reduce much of the service composition problem to a constraint satisfaction problem. We were able to achieve Web service composition based on constraints, starting with an abstract process. We were also able to bind an optimal set of services to the abstract process. This work was done as part of the METEOR-S framework, which aims to support the complete lifecycle of semantic Web processes.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectWeb Service Composition
dc.subjectSemantic Web
dc.subjectWeb Services
dc.subjectSemantic Web Service Discovery
dc.subjectOptimization
dc.titleConstraint driven Web service composition in METEOR--S
dc.typeThesis
dc.description.degreeMS
dc.description.departmentComputer Science
dc.description.majorComputer Science
dc.description.advisorAmit P. Sheth
dc.description.advisorJohn A. Miller
dc.description.committeeAmit P. Sheth
dc.description.committeeJohn A. Miller
dc.description.committeeMaria Hybinette
dc.description.committeeWill S York


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