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Comparing ontologies and databases : a critical review of lifecycle engineering models in manufacturing
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Ramis Ferrer, Borja, Mohammed, Wael M., Ahmad, Mussawar, Iarovyi, Sergii, Zhang, Jiayi, Harrison, Robert and Martinez Lastra, Jose Luis (2021) Comparing ontologies and databases : a critical review of lifecycle engineering models in manufacturing. Knowledge and Information Systems, 63 (6). pp. 1271-1304. doi:10.1007/s10115-021-01558-4 ISSN 0219-1377.
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WRAP-Comparing-ontologies-and-databases-a-critical-review-of-lifecycle-engineering-models-in-manufacturing-Ahmad-2021.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (2899Kb) | Preview |
Official URL: http://dx.doi.org/10.1007/s10115-021-01558-4
Abstract
The literature on the modeling and management of data generated through the lifecycle of a manufacturing system is split into two main paradigms: product lifecycle management (PLM) and product, process, resource (PPR) modeling. These paradigms are complementary, and the latter could be considered a more neutral version of the former. There are two main technologies associated with these paradigms: ontologies and databases. Database technology is widespread in industry and is well established. Ontologies remain largely a plaything of the academic community which, despite numerous projects and publications, have seen limited implementations in industrial manufacturing applications. The main objective of this paper is to provide a comparison between ontologies and databases, offering both qualitative and quantitative analyses in the context of PLM and PPR. To achieve this, the article presents (1) a literature review within the context of manufacturing systems that use databases and ontologies, identifying their respective strengths and weaknesses, and (2) an implementation in a real industrial scenario that demonstrates how different modeling approaches can be used for the same purpose. This experiment is used to enable discussion and comparative analysis of both modeling strategies.
Item Type: | Journal Article | ||||||||||
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Subjects: | H Social Sciences > HF Commerce Q Science > Q Science (General) Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TS Manufactures |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||||
Library of Congress Subject Headings (LCSH): | Product life cycle , Product life cycle -- Management -- Databases , Product management , Database management, Manufacturing processes -- Databases, Ontologies (Information retrieval) | ||||||||||
Journal or Publication Title: | Knowledge and Information Systems | ||||||||||
Publisher: | Springer | ||||||||||
ISSN: | 0219-1377 | ||||||||||
Official Date: | June 2021 | ||||||||||
Dates: |
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Volume: | 63 | ||||||||||
Number: | 6 | ||||||||||
Page Range: | pp. 1271-1304 | ||||||||||
DOI: | 10.1007/s10115-021-01558-4 | ||||||||||
Status: | Peer Reviewed | ||||||||||
Publication Status: | Published | ||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||
Date of first compliant deposit: | 16 August 2022 | ||||||||||
Date of first compliant Open Access: | 25 August 2022 | ||||||||||
RIOXX Funder/Project Grant: |
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