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Application of Business Process Semantic Annotation Techniques to Perform Pattern Recognition Activities Applied to the Generalized Civic Access

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Complex, Intelligent and Software Intensive Systems (CISIS 2022)

Abstract

The digital transformation plays a strategic role in simplifying relations with citizens and businesses and in the growth of the community and the economy. Through the strengthening of digital infrastructures, the creation of websites, online services and the use of interoperable data platforms, the Public Administration makes its information assets available to its users, innovative, simple and accessible digital services to reduce waiting times and counter work, costs and bureaucratic burdens, and guarantees private individuals services that can be used directly from their smartphones or PCs. From all this, it can be seen that there is a need for redesigning processes or creating new ones to ensure that a public service responds to the specific needs of different citizens. This paper proposes a semantic approach for BPMN annotation using domain ontologies. Such annotation aims to provide the BPMN with the expressiveness necessary to allow the discovery of specific process patterns. The case study analyzed is Generalized Civic Access - ACG. A BPMN is proposed that describes a process of request by a citizen for a document held in an office of the Italian public administration and an ontology that describes the Profile of the Italian application for access conditions.

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Notes

  1. 1.

    https://foia.gov.it/normativa/cose-il-foia.

  2. 2.

    https://github.com/italia/daf-ontologie-vocabolari-controllati.

  3. 3.

    https://github.com/italia/daf-ontologie-vocabolari-controllati/tree/master/VocabolariControllati/ classifications-for-transparency.

  4. 4.

    https://gojs.net/latest/index.html.

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Acknowledgements

The work described in this paper has been supported by the Project VALERE “SSCeGov - Semantic, Secure and Law Compliant e-Government Processes".

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Correspondence to Maria Epifania .

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Di Martino, B., Graziano, M., Colucci Cante, L., Esposito, A., Epifania, M. (2022). Application of Business Process Semantic Annotation Techniques to Perform Pattern Recognition Activities Applied to the Generalized Civic Access. In: Barolli, L. (eds) Complex, Intelligent and Software Intensive Systems. CISIS 2022. Lecture Notes in Networks and Systems, vol 497. Springer, Cham. https://doi.org/10.1007/978-3-031-08812-4_39

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