An Ontology Based Semantic Data Model Supporting A Maas Digital Platform

Landolfi, Giuseppe and Barni, Andrea Francesco and Izzo, Gabriele and Montini, Elias and Bettoni, Andrea and Vujasinovic, Marko and Gugliotta, Alessio and Soares, Antonio Lucas and Diogo Silva, Henrique (2018) An Ontology Based Semantic Data Model Supporting A Maas Digital Platform. In: 2018 International Conference on Intelligent Systems (IS) UNSPECIFIED.

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Abstract

The integration of IoT infrastructures across production systems, together with the extensive digitalisation of industrial processes, are drastically impacting manufacturing value chains and the business models built on the top of them. By exploiting these capabilities companies are evolving the nature of their businesses shifting value proposition towards models relying on product servitization and share, instead of ownership. In this paper, we describe the semantic data-model developed to support a digital platform fostering the reintroduction in the loop and optimization of unused industrial capacity. Such data-model aims to establish the main propositions of the semantic representation that constitutes the essential nature of the ecosystem to depict their interactions, the flow of resources and exchange of production services. The inference reasoning on the semantic representation of the ecosystem allows to make emerge non-trivial and previously unknown opportunities. This will apply not only to the matching of demand and supply of manufacturing services, but to possible and unpredictable relations. For instance, a particular kind of waste being produced at an ecosystem node can be linked to the requirements for an input material needed in a new product being developed on the platform, or new technologies can be suggested to enhance processes under improvement. The overall architecture and individual ontologies are presented and their usefulness is motivated via the application to use cases.

Item Type:	Article in conference proceedings or Presentation at a conference (Paper)
Subjects:	Business and administrative studies
Department/unit:	Dipartimento tecnologie innovative > Istituto sistemi e tecnologie per la produzione sostenibile
Depositing User:	Sara Masiero
Date Deposited:	20 Jul 2021 07:00
Last Modified:	20 Jul 2021 07:01
URI:	http://repository.supsi.ch/id/eprint/12666

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