2006
DOI: 10.1007/s10619-006-7003-7
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Context-based matching for Web service composition

Abstract: In this paper, we propose a novel matching framework for Web service composition. The framework combines the concepts of Web service, context, and ontology. We adopt a broad definition of context for Web services, encompassing all information needed for enabling interactions between clients and providers. Contextbased matching for Web services requires dealing with three major research thrusts: context categorization, modeling, and matching. We first propose an ontology-based categorization of contextual infor… Show more

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Cited by 86 publications
(64 citation statements)
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“…Service matching and service selection approaches support process design-time validation for service-based applications [37]. The effective composition and coordination at process run-time needs to involve service management techniques.…”
Section: The Need For Service Process Contextualisationmentioning
confidence: 99%
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“…Service matching and service selection approaches support process design-time validation for service-based applications [37]. The effective composition and coordination at process run-time needs to involve service management techniques.…”
Section: The Need For Service Process Contextualisationmentioning
confidence: 99%
“…Servicecentric applications need management in the form of monitoring and validation at run-time because of new versions of selected services or new services supplied by different vendors, different execution time contexts hamper the correctness and quality levels of Web service applications with respect to their contextual expectations. Traditionally, applications are validated before their deployment [37], but monitoring and validation at run-time is needed to address flexibility requirements [55,9,8].…”
Section: Introductionmentioning
confidence: 99%
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“…[2], [3], [4]), there is a lack of mechanisms and approaches to establish inter-community and intra-community rules and to enforce them.…”
Section: Introductionmentioning
confidence: 99%