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A capabilities driven model for web services description and composition

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  • Sana Baccar
  • Mohsen Rouached
  • Mohamed Abid

Abstract

Service-oriented architectures (SOA) foster the integration of different technologies and platforms coming from various enterprises, and bring a new level of flexible modularity that is able to guarantee end-to-end quality of service. However, a current bottleneck in the current process of modelling compositions in SOA is the expert level needed in order to achieve such a composition. This is mainly due to the imperative programming paradigm they are based on. A language such as BPEL is clearly an expert language, and specifying and programming a composition using BPEL is a lengthy, costly, and high risk process. To overcome this limitation, we propose in this paper to use a declarative approach to model services and services compositions. This approach relies on a capabilities service specification, powered by reasoning techniques to handle both functional and non-functional requirements and highly expressive interaction models without over-specifying them. It enables to support flexible and self-managed compositions that are able to adapt to changes that may happen continuously and unpredictably.

Suggested Citation

  • Sana Baccar & Mohsen Rouached & Mohamed Abid, 2016. "A capabilities driven model for web services description and composition," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 22(1), pages 26-40.
    • Handle: RePEc:ids:ijbisy:v:22:y:2016:i:1:p:26-40
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    References listed on IDEAS

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    1. Victor Saquicela & Luis M. Vilches-Blázquez & Oscar Corcho, 2012. "Adding Semantic Annotations into (Geospatial) RESTful Services," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 8(2), pages 51-71, April.
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    Cited by:

    1. Samuel Zanferdini Oliva & Livia Oliveira-Ciabati & Denise Gazotto Dezembro & Mário Sérgio Adolfi Júnior & Maísa Carvalho Silva & Hugo Cesar Pessotti & Juliana Tarossi Pollettini, 2021. "Text structuring methods based on complex network: a systematic review," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1471-1493, February.

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