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An Ontology-Based Representation for Shaping Product Evolution in Regulated Industries
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-6952-1053
Robert Bosch GmbH, Renningen, Germany.
Robert Bosch GmbH, Renningen, Germany.
2024 (English)In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH , 2024, p. 92-102Conference paper, Published paper (Refereed)
Abstract [en]

Compliance management is a challenging activity in regulated industries. This is due to the need of navigating rapidly shifting requirements. In the automotive domain products (items) evolve rapidly creating a product line in time in addition to the one in space. The product variability is constrained by legislation, standards, etc. whose applicability may vary depending on the jurisdiction. In this paper, we focus on the legislation and its impact on the product in terms of inclusion/exclusion of product features. We exploit the Semantic Web technologies and we propose an ontology-based representation for managing product variability in compliance with legislation. Specifically, we provide the representation in Resource Description Framework (RDF) and we introduce reusable SHACL (Shapes Constraint Language) constraints to shape the RDF graphs. We illustrate our proposal by considering US and UNECE regulations and their impact on the window lifter.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2024. p. 92-102
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 14614 LNCS
Keywords [en]
Compliance Management, Feature Diagrams, Ontologies, Product Evolution, Reusable SHACL Constraints, Variability, Laws and legislation, Resource Description Framework (RDF), Constraint language, Ontology's, Ontology-based representation, Product variability, Reusable shape constraint language constraint, Shape constraints, Ontology
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-68172DOI: 10.1007/978-3-031-66459-5_6ISI: 001307881100006Scopus ID: 2-s2.0-85200555055ISBN: 9783031664588 (print)OAI: oai:DiVA.org:mdh-68172DiVA, id: diva2:1888907
Conference
21st International Conference on Software and Systems Reuse, ICSR, Limassol, June 19-20, 2024
Available from: 2024-08-14 Created: 2024-08-14 Last updated: 2024-10-10Bibliographically approved

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Gallina, Barbara

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CiteExportLink to record
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  • apa
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