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x2OMSAC - An Ontology Population Framework for the Ontology of Microservices Architecture Concepts

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Information Systems and Technologies (WorldCIST 2023)

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Abstract

Applying the Ontology of Microservices Architecture Concepts (OMSAC) as a modelling language calls users to have expertise in ontology engineering. However, ontology practice remains restricted to a limited pool of practitioners, leading to a barrier to widely adopting such a modelling approach. Here, we present x2OMSAC, an ontology population framework that enhances the modelling of microservices architectures using OMSAC. We instantiate our framework by FOD2OMSAC, which limits modellers’ manual tasks to data selection, cleaning, and validation of created models, thereby eliminating the need for ontology expertise and, consequently, expanding the potential of OMSAC adopters for modelling microservices architectures.

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Notes

  1. 1.

    https://apitools.dev/json-schema-ref-parsert/.

  2. 2.

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Acknowledgements

We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC) grant number 06351, and Desjardins.

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Correspondence to Gabriel Morais .

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Morais, G., Adda, M., Hadder, H., Bork, D. (2024). x2OMSAC - An Ontology Population Framework for the Ontology of Microservices Architecture Concepts. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F., Colla, V. (eds) Information Systems and Technologies. WorldCIST 2023. Lecture Notes in Networks and Systems, vol 800. Springer, Cham. https://doi.org/10.1007/978-3-031-45645-9_25

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