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MSLE: An ontology for materials science laboratory equipment – Large-scale devices for materials characterization

Jalali, Mehrdad ORCID iD icon 1,2; Mail, Matthias 2; Aversa, Rossella ORCID iD icon 3; Kübel, Christian ORCID iD icon 2,4
1 Institut für Funktionelle Grenzflächen (IFG), Karlsruher Institut für Technologie (KIT)
2 Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)
3 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)
4 Helmholtz-Institut Ulm (HIU), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

This paper introduces a new ontology for Materials Science Laboratory Equipment, termed MSLE. A fundamental issue with materials science laboratory (hereafter lab) equipment in the real world is that scientists work with various types of equipment with multiple specifications. For example, there are many electron microscopes with different parameters in chemical and physical labs. A critical development to unify the description is to build an equipment domain ontology as basic semantic knowledge and to guide the user to work with the equipment appropriately. Here, we propose to develop a consistent ontology for equipment, the MSLE ontology. In the MSLE, two main existing ontologies, the Semantic Sensor Network (SSN) and the Material Vocabulary (MatVoc), have been integrated into the MSLE core to build a coherent ontology. Since various acronyms and terms have been used for equipment, this paper proposes as an approach to use a Simple Knowledge Organization System (SKOS) to represent the hierarchical structure of equipment terms. Equipment terms were collected in various languages and abbreviations, and coded into the MSLE using the SKOS model. ... mehr

DOI: 10.1016/j.mtcomm.2023.105532
Zitationen: 1
Zitationen: 1
Zugehörige Institution(en) am KIT Helmholtz-Institut Ulm (HIU)
Institut für Funktionelle Grenzflächen (IFG)
Institut für Nanotechnologie (INT)
Scientific Computing Center (SCC)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 06.2023
Sprache Englisch
Identifikator ISSN: 2352-4928
KITopen-ID: 1000155818
HGF-Programm 46.21.01 (POF IV, LK 01) Domain-Specific Simulation & SDLs and Research Groups
Erschienen in Materials Today Communications
Verlag Elsevier
Band 35
Seiten Art.-Nr.: 105532
Vorab online veröffentlicht am 01.02.2023
Schlagwörter Lab Equipment Ontology, Electron Microscopy, SHACL, Semantic Sensor Networks, MatVoc, SKOS
Nachgewiesen in Web of Science
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