2015
DOI: 10.1080/00207543.2015.1052155
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Ontologies in the context of product lifecycle management: state of the art literature review

Abstract: The use of ontologies in the context of product lifecycle management (PLM) is gaining importance and popularity, while at the same time it generates a lot of controversy in discussions within scientific and engineering communities. Yet, what is ontology? What challenges have been addressed so far? What role does ontology play? Do we really need ontology? These are the core questions this paper seeks to address. We propose to conduct a comprehensive study of the concept of Ontology firstly in its domain of orig… Show more

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Cited by 91 publications
(35 citation statements)
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“…Fortineau et al [8] have explained why ontologies are relevant to solving interoperability problems. In fact, they have explained that the expected benefits from using inference models can be classified into three categories that refer to different capabilities offered by inference ontologies: These capabilities explain the considerable number of papers dealing with the industrial applications of ontologies for the resolution of interoperability problems [15].…”
Section: Why Ontologies?mentioning
confidence: 99%
“…Fortineau et al [8] have explained why ontologies are relevant to solving interoperability problems. In fact, they have explained that the expected benefits from using inference models can be classified into three categories that refer to different capabilities offered by inference ontologies: These capabilities explain the considerable number of papers dealing with the industrial applications of ontologies for the resolution of interoperability problems [15].…”
Section: Why Ontologies?mentioning
confidence: 99%
“…Thus, it comes as no surprise that the application of OWL ontologies in the representation of product information (including tolerance information) is gaining importance and popularity within the academia [81][82][83][84][85]. However, the OWL ontology-based model is probably not an efficient representation model for tolerance information as a whole, because OWL ontology has drawbacks in the aspects of degree of automation, time complexity, additional work, and negation in the model [80].…”
Section: Ontology-based Modelmentioning
confidence: 99%
“…The developed ontology promotes knowledge reuse and systematic capture of design knowledge and helps the integration of the heterogeneous data sources (Chang, Sahin, & Terpenny, 2008). The use of ontologies for knowledge management in engineering industry is increasing as evidenced by (El Kadiri & Kiritsis, 2015;Rao, Mansingh, & Osei-Bryson, 2012;Zhen, Wang, & Li, 2013).…”
Section: Ontologies As Knowledge Management Tools In Enterprisesmentioning
confidence: 99%