Inproceedings3886: Unterschied zwischen den Versionen
Xi5455 (Diskussion | Beiträge) K |
Xi5455 (Diskussion | Beiträge) K |
||
| (3 dazwischenliegende Versionen desselben Benutzers werden nicht angezeigt) | |||
| Zeile 32: | Zeile 32: | ||
{{Publikation Details | {{Publikation Details | ||
|Abstract=The field of Materials Science is concerned with, e.g., prop- erties and performance of materials. An important class of materials are crystalline materials that usually contain “dislocations” – a line-like defect type. Dislocation decisively determine many important materi- als properties. Over the past decades, significant effort was put into understanding dislocation behavior across different length scales both with experimental characterization techniques as well as with simula- tions. However, for describing such dislocation structures there is still a lack of a common standard to represent and to connect dislocation do- main knowledge across different but related communities. An ontology offers a common foundation to enable knowledge representation and data interoperability, which are important components to establish a “digital twin”. This paper outlines the first steps towards the design of an onto- logy in the dislocation domain and shows a connection with the already existing ontologies in the materials science and engineering domain. | |Abstract=The field of Materials Science is concerned with, e.g., prop- erties and performance of materials. An important class of materials are crystalline materials that usually contain “dislocations” – a line-like defect type. Dislocation decisively determine many important materi- als properties. Over the past decades, significant effort was put into understanding dislocation behavior across different length scales both with experimental characterization techniques as well as with simula- tions. However, for describing such dislocation structures there is still a lack of a common standard to represent and to connect dislocation do- main knowledge across different but related communities. An ontology offers a common foundation to enable knowledge representation and data interoperability, which are important components to establish a “digital twin”. This paper outlines the first steps towards the design of an onto- logy in the dislocation domain and shows a connection with the already existing ontologies in the materials science and engineering domain. | ||
| − | |Download= | + | |Download=paper4.pdf |
|Link=http://ceur-ws.org/Vol-2887/paper4.pdf | |Link=http://ceur-ws.org/Vol-2887/paper4.pdf | ||
|Forschungsgruppe=Information Service Engineering | |Forschungsgruppe=Information Service Engineering | ||
}} | }} | ||
Aktuelle Version vom 10. November 2022, 15:49 Uhr
Steps towards a Dislocation Ontology for Crystalline Materials
Steps towards a Dislocation Ontology for Crystalline Materials
Published: 2021
Juni
Herausgeber: Raúl García-Castro, John Davies, Grigoris Antoniou, Carolina Fortuna
Buchtitel: Proceedings of the Second International Workshop on Semantic Digital Twins co-located with the 18th Extended Semantic Web Conference (ESWC 2021)
Ausgabe: 2887
Verlag: CEUR-WS.org
Organisation: 2nd International Workshop on Semantic Digital Twins co-located with the 18th Extended Semantic Web Conference (ESWC 2021)
Nicht-referierte Veröffentlichung
BibTeX
Kurzfassung
The field of Materials Science is concerned with, e.g., prop- erties and performance of materials. An important class of materials are crystalline materials that usually contain “dislocations” – a line-like defect type. Dislocation decisively determine many important materi- als properties. Over the past decades, significant effort was put into understanding dislocation behavior across different length scales both with experimental characterization techniques as well as with simula- tions. However, for describing such dislocation structures there is still a lack of a common standard to represent and to connect dislocation do- main knowledge across different but related communities. An ontology offers a common foundation to enable knowledge representation and data interoperability, which are important components to establish a “digital twin”. This paper outlines the first steps towards the design of an onto- logy in the dislocation domain and shows a connection with the already existing ontologies in the materials science and engineering domain.
Download: Media:paper4.pdf
Weitere Informationen unter: Link
Information Service Engineering