Abstract
The Italian Ministry of Infrastructures and Transport has started the implementation of SINFI, the National Federated Infrastructure Information Service, whose goal is both to share information about infrastructures and underground utilities, and offer a single dashboard that efficiently manages and monitors all interventions. Although the data model underlying SINFI has been designed with a general-purpose approach, it doesn’t result in line with the actual needs of the operators of the Integrated Water Service that instead has to be compliant with the updating of the plans of intervention according to the macro-indicators of technical quality referred to in the ARERA resolution.
The aim of this paper is to propose a data model that allows measuring such macro-indicators and generating interoperable datasets. An ontological approach has been used that has produced a data storage model as implemented in the Semantic Web.
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Grimaldi, M., Sebillo, M., Vitiello, G., Pellecchia, V. (2019). An Ontology Based Approach for Data Model Construction Supporting the Management and Planning of the Integrated Water Service. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11624. Springer, Cham. https://doi.org/10.1007/978-3-030-24311-1_17
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