Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/53376
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dc.contributor.authorPathathai Na-Lumpoonen_US
dc.contributor.authorMarie Christine Fauveten_US
dc.contributor.authorAhmed Lbathen_US
dc.date.accessioned2018-09-04T09:48:25Z-
dc.date.available2018-09-04T09:48:25Z-
dc.date.issued2014-04-08en_US
dc.identifier.other2-s2.0-84983111404en_US
dc.identifier.other10.1109/SKIMA.2014.7083532en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84983111404&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/53376-
dc.description.abstract© 2014 IEEE. Service composition brings many benefits of reusing existing services (so called components) to synthesize a new resulting service (so called composite). Composing a service composition usually happens at design time, but this limit the choices of component services. This paper presents a framework for web service composition and execution based on the integration of different domains. Given a user's query, and a list of service descriptions (in SAWSDL), the framework first provides an automated composition of services based on Fluent Calculus. This step, employing chaining inference from AI-planning with FLUX constraint programming method, generates a plan which is either a sequence or a parallel composition of operations offered by the selected services. As a second step, the plan is transformed into a BPMN (Business Process Modeling Notation) model in order to be executed by any BPMN engine. The proposed work relies on a broad project that aims at design and develop a non intrusive framework dediated to context aware mobile services [1]-[3].en_US
dc.subjectComputer Scienceen_US
dc.titleToward a framework for automated service composition and executionen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleSKIMA 2014 - 8th International Conference on Software, Knowledge, Information Management and Applicationsen_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsUniversite Grenoble Alpesen_US
Appears in Collections:CMUL: Journal Articles

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