Ontological modeling of manufacturing resources

التفاصيل البيبلوغرافية
العنوان: Ontological modeling of manufacturing resources
المؤلفون: Walter Terkaj, Emilio M. Sanfilippo, Stefano Borgo
المصدر: Applied Ontology. 16:87-109
بيانات النشر: IOS Press, 2021.
سنة النشر: 2021
مصطلحات موضوعية: 0209 industrial biotechnology, Linguistics and Language, 020901 industrial engineering & automation, General Computer Science, Computer science, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Data science, Language and Linguistics
الوصف: Standards and ontologies for manufacturing understand resources differently. Because of this heterogeneity, misunderstandings arise concerning the basic features that characterize them. The purpose of the paper is to investigate how to ontologically model resources with the goal of facilitating the development of knowledge representation models for manufacturing. By reviewing the literature, we discuss and compare three approaches for the representation of resources depending on whether they are conceived in connection to either processes, plans or goals. By addressing the advantages and shortcomings of each view, we present a unifying perspective to enable the modeling of resources in an integrated manner. In this way, the intended meanings of the used notions are harmonized and, as a result, one can facilitate multiple experts to interact e.g., via data sharing and/or data integration procedures. Differently, by keeping three separated views, there is no guarantee that data coming from different parties will share common meanings even if the same terms are used. By the end of the paper, we present a case study to show the application of our approach and to compare it with an existing ontology for manufacturing.
تدمد: 1875-8533
1570-5838
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ee9086fe03714c6c3cb3fddbe1444027
https://doi.org/10.3233/ao-210242
رقم الأكسشن: edsair.doi...........ee9086fe03714c6c3cb3fddbe1444027
قاعدة البيانات: OpenAIRE