Ontological modeling of manufacturing resources

Applied ontology 16 (1):87-109 (2021)
  Copy   BIBTEX

Abstract

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.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 90,616

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Ontological aspects of information modeling.Robert L. Ashenhurst - 1996 - Minds and Machines 6 (3):287-394.
Modeling Sustainability in Product Development and Commercialization.Dariush Rafinejad & Robert C. Carlson - 2008 - Bulletin of Science, Technology and Society 28 (6):478-485.
The Industrial Ontologies Foundry proof-of-concept project.Evan Wallace, Dimitris Kiritsis, Barry Smith & Chris Will - 2018 - In Ilkyeong Moon, Gyu M. Lee, Jinwoo Park, Dimitris Kiritsis & Gregor von Cieminski (eds.), Advances in Production Management Systems. Smart Manufacturing for Industry 4.0. IFIP. pp. 402-409.

Analytics

Added to PP
2021-01-27

Downloads
13 (#886,827)

6 months
4 (#320,252)

Historical graph of downloads
How can I increase my downloads?