16 research outputs found

    How to apply CBR methods in Web service composition?

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    International audienceThe International Conference on Signal-Image Technology & Internet-based Systems. Web-Based Information Technologies & Distributed Systems Track. December 17th - 21st 2006, Hammamet, Tunisia. pp: 230-239

    Une méthode d'apprentissage pour la composition de services web

    No full text
    National audienceDans Atelier Intelligence Artificielle et Web Intelligence (IAWI'07), Grenoble, Franc

    Agent-Based framework for Web services composition

    No full text
    International audienceNowadays, web services represent the technology that allows having independent platform and language components. A service oriented architecture promises to make ready creation of applications composed of dynamically selected components. In such a case, we take an interest in web service composition. Indeed, the composition appears as an important strategy to provide more complex and useful solutions. In this paper, we present an architectural framework for the web services composition. Our approach, called WesCO CBR (Web Service Composition founded on case-Based Reasoning), uses the case-based reasoning,that allows us to have a dynamic and intelligent composition. In this work, we are essentially interested in the construction of the composition diagram. To distribute WeSCo CBR, we propose to use a multi-agent system, that allows different sites to exploit others

    CBR Method for Web Service Composition

    No full text
    International audienceIn this paper, we present the WeSCo CBR approach anddemonstrate how CBR techniques are applied for semi-automated WS composition. Our proposal is based mainlyon two concepts: ontologies on one hand for the descriptionof the concepts and resources needed to improve the discoveryof the relevant WS ; and Case Based Reasoning (CBR) onthe other hand, for the determination of the required busi-ness process. Our contribution consists of: 1) the definition of an ab-stract level defined by a set of domain activities in orderto limit the search space of WS and 2) a method to buildan abstract process and then a composite WS through a setof similarity computation procedures according to the CBR techniques

    How to apply CBR methods in Web service composition?

    No full text
    International audienceThe International Conference on Signal-Image Technology & Internet-based Systems. Web-Based Information Technologies & Distributed Systems Track. December 17th - 21st 2006, Hammamet, Tunisia. pp: 230-239

    Une méthode d'apprentissage pour la composition de services web

    No full text
    National audienceDans Atelier Intelligence Artificielle et Web Intelligence (IAWI'07), Grenoble, Franc

    Agent-Based framework for Web services composition

    No full text
    International audienceNowadays, web services represent the technology that allows having independent platform and language components. A service oriented architecture promises to make ready creation of applications composed of dynamically selected components. In such a case, we take an interest in web service composition. Indeed, the composition appears as an important strategy to provide more complex and useful solutions. In this paper, we present an architectural framework for the web services composition. Our approach, called WesCO CBR (Web Service Composition founded on case-Based Reasoning), uses the case-based reasoning,that allows us to have a dynamic and intelligent composition. In this work, we are essentially interested in the construction of the composition diagram. To distribute WeSCo CBR, we propose to use a multi-agent system, that allows different sites to exploit others

    WeSCo_CBR: How to Compose Web Services via Case Based Reasoning

    No full text
    International audienceDans The IEEE International Symposium on Service-Oriented Applications, Integration and Collaboration held with the IEEE International Conference on e-Business Engineering (ICEBE 2006). 24-26 October 2006, in Shanghai, China., IEEE Computer Society ed. . pp. 618-622
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