2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC) 2017
DOI: 10.1109/ice.2017.8280014
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Ontology for colaborative development of product service systems based on basic formal ontology

Abstract: the paper is one of the few attempts to develop a Product Service System (PSS) ontology aiming to facilitate Knowledge Management in collaborative PSS design, focusing upon machine industry. The PSS ontology includes concepts such as products, services, PSS, PSS lifecycle, process and stakeholders, including direct customers, consumers and their feedback. The context sensitivity approach is proposed to fully support the use of different tools for PSS development by various stakeholders. The context model inclu… Show more

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Cited by 12 publications
(16 citation statements)
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“…Engineering Modeling Language Ontology (CAEMLOnto) [18], the Product Service System Ontology (PSSO) [19], the Part-Focused Manufacturing Process Ontology (PMPO) [20], the ontology of the skill modeling for digital factories [21] the Innovative Capabilities of Additive Manufacturing Ontology (ICAM) [22], the Additive Manufacturing Ontology (AMO) [23], the Interoperability and Integration Framework (IoIF) [24], the DILECO OWL Ontology for the application of aircraft ground structure testing [25], the Physics-based Simulation Ontology [26], the Reference Ontology for the Maintenance Management Domain (ROMAIN) [27], the Supply Chain Reference Ontology [28], and the Process-Centric Systems Engineering Reference Ontology [29].…”
Section: Examples Of Bfo-based Engineering Ontologies Include the Commentioning
confidence: 99%
“…Engineering Modeling Language Ontology (CAEMLOnto) [18], the Product Service System Ontology (PSSO) [19], the Part-Focused Manufacturing Process Ontology (PMPO) [20], the ontology of the skill modeling for digital factories [21] the Innovative Capabilities of Additive Manufacturing Ontology (ICAM) [22], the Additive Manufacturing Ontology (AMO) [23], the Interoperability and Integration Framework (IoIF) [24], the DILECO OWL Ontology for the application of aircraft ground structure testing [25], the Physics-based Simulation Ontology [26], the Reference Ontology for the Maintenance Management Domain (ROMAIN) [27], the Supply Chain Reference Ontology [28], and the Process-Centric Systems Engineering Reference Ontology [29].…”
Section: Examples Of Bfo-based Engineering Ontologies Include the Commentioning
confidence: 99%
“…Third, developing such a system requires dealing with a meaningful amount of knowledge created during the process, which includes understanding customers, requirements, product and service technologies and behaviors, lifecycle perspectives, support systems, among others (Shen et al 2010;Medini and Boucher 2019). This knowledge is collaboratively exchanged among stakeholders with distinct backgrounds and skills, such as engineers, service designers, marketing, programmers, but also partners, suppliers, and customers (Zhu et al 2015;Hajimohammadi et al 2017;Correia et al 2018;Medini and Boucher 2019). Besides the quantity, there is a variety of knowledge manifested by the stakeholders through their domain-specific models and systems.…”
Section: Introductionmentioning
confidence: 99%
“…Besides the quantity, there is a variety of knowledge manifested by the stakeholders through their domain-specific models and systems. Therefore, a challenge of PSS design is the appropriate gathering and exchange of a meaningful amount of varied knowledge, ensuring its completeness, re-use, sharing (Correia et al 2018), and a unified perspective of the expected solution and its relevant information among all stakeholders (Hajimohammadi et al 2017). A well-accepted strategy for elucidating knowledge in PSS design, providing a common understanding among all stakeholders, is visualization through artifacts (Bertoni et al 2013;Wolfenstetter et al 2018;Medini and Boucher 2019).…”
Section: Introductionmentioning
confidence: 99%
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