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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
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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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| Is Part Of: | 1 |
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