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An SOA Design Patterns Recommendation System Based on Ontology

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Intelligent Systems Design and Applications (ISDA 2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 940))

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Abstract

Service-Oriented Architecture is an architectural style for building systems based on interacting services. For more performance, Service-oriented architectures (SOA) systems must have some quality requirements (e.g., reliability, availability, and performance). SOA design patterns are proven solutions to specific problems in this context. Given the benefits they offer for software development, the SOA design patterns use is in an increasing expansion. Nonetheless, without assistance, any inexperienced designer may not take advantage of SOA design patterns due to their overwhelming number. In this paper, we propose a new approach that recommends the SOA design pattern that is adequate to the designer’s modeling context. For this purpose, a new ontology created to classify the different SOA patterns problems and their corresponding solutions. Then this ontology will be interrogated by SPARQL to search for the adequate pattern in the repository of SOA patterns and present the appropriate solution.

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Author information

Authors and Affiliations

  1. Mir@Cl Laboratory, Institut Supérieur D’Informatique et de Multimédia, Université de Sfax, Sfax, Tunisia

    Karama Abdelhedi & Nadia Bouassidar

Authors
  1. Karama Abdelhedi
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  2. Nadia Bouassidar
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Corresponding author

Correspondence to Karama Abdelhedi .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  4. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

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Abdelhedi, K., Bouassidar, N. (2020). An SOA Design Patterns Recommendation System Based on Ontology. In: Abraham, A., Cherukuri, A.K., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 940. Springer, Cham. https://doi.org/10.1007/978-3-030-16657-1_95

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