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An ontology for units of measures across history,standards, and scientific and technology domains
Linköping University, Department of Physics, Chemistry and Biology, Theoretical Physics. Linköping University, Faculty of Science & Engineering. Swedish e-Science Research Centre, Linköping, Sweden.ORCID iD: 0009-0003-6158-1857
Linköping University, Faculty of Science & Engineering. Linköping University, Department of Computer and Information Science, Human-Centered Systems. Swedish e-Science Research Centre, Linköping, Sweden.ORCID iD: 0000-0003-1881-3969
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering. Swedish e-Science Research Centre, Linköping, Sweden.ORCID iD: 0000-0002-9084-0470
Linköping University, Faculty of Science & Engineering. Linköping University, Department of Physics, Chemistry and Biology, Theoretical Physics. Swedish e-Science Research Centre, Linköping, Sweden.ORCID iD: 0000-0002-5571-0814
2024 (English)In: Proceedings of the First International Workshop on Semantic Materials Science: Harnessing the Power of Semantic Web Technologies in Materials Science: co-located with the 20th International Conference on Semantic Systems (SEMANTiCS 2024) / [ed] Andre Valdestilhas, Huanyu Li, Patrick Lambrix, Harald Sack, Aachen, Germany: CEUR Workshop Proceedings , 2024, p. 15-28Conference paper, Published paper (Refereed)
Abstract [en]

Units of measure are central in all areas of science and technology. There are several ontologicalframeworks aiming to improve interoperability and precision in digital data exchange of quantitiesinvolving units. We introduce an ontology that specifically targets challenges for handling units acrossdatabases of computational and experimental data from various sources. The ontology is created usingdefinition files from the community-driven OPTIMADE standard for a common API for materialsdatabases. The resulting ontology allows addressing data integration challenges encountered in thateffort, including (i) referencing both specific and more general instances of units that have changedover time; (ii) the use of unit systems to define short domain-relevant identifiers for a collection of unitsthat make sense within a specific subdomain, rather than having to adopt globally standardized namingschemes; (iii) specifications of relationships between units that enables tools to convert between them;and (iv) units not part of the International System of Units (SI) can be represented without defining themin SI units or using SI system conventions. This paper provides a brief survey of existing ontologiesfor units of measure and then presents the design and discuss features of an ontology based on theOPTIMADE unit definitions.

Place, publisher, year, edition, pages
Aachen, Germany: CEUR Workshop Proceedings , 2024. p. 15-28
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 3760
Keywords [en]
Ontology, Units of measure, Unit ontologies, Materials Science
National Category
Computer Sciences Materials Engineering
Identifiers
URN: urn:nbn:se:liu:diva-207726OAI: oai:DiVA.org:liu-207726DiVA, id: diva2:1898924
Conference
First International Workshop on Semantic Materials Science: Harnessing the Power of Semantic Web Technologies in Materials Science, Amsterdam, The Netherlands, September 17, 2024.
Funder
Swedish Research Council, 2020-05402Swedish e‐Science Research CenterCUGS (National Graduate School in Computer Science)EU, Horizon Europe, 101058682Available from: 2024-09-18 Created: 2024-09-18 Last updated: 2024-11-06Bibliographically approved

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31d5e1773f73f7883414e4ca97aba9507d36d0fb32b65ccb36ecf6615213359994d5d50cd0a2520b5a3cbc2156289fdeb72508420912ec117628e28b936c750e
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Andersson, OskarLi, HuanyuLambrix, PatrickArmiento, Rickard

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CiteExportLink to record
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