001     1046188
005     20250916202449.0
024 7 _ |a 10.1145/3555776.3578739
|2 doi
037 _ _ |a FZJ-2025-03724
100 1 _ |a Ihsan, Ahmad Zainul
|0 P:(DE-Juel1)185910
|b 0
111 2 _ |a SAC '23: 38th ACM/SIGAPP Symposium on Applied Computing
|c Tallinn
|d 2023-03-27 - 2023-03-31
|w Estonia
245 _ _ |a DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials
260 _ _ |c 2023
|b ACM New York, NY, USA
300 _ _ |a 1746 - 1753
336 7 _ |a CONFERENCE_PAPER
|2 ORCID
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a Output Types/Conference Paper
|2 DataCite
336 7 _ |a Contribution to a conference proceedings
|b contrib
|m contrib
|0 PUB:(DE-HGF)8
|s 1758033485_17750
|2 PUB:(DE-HGF)
520 _ _ |a Crystalline materials, such as metals and semiconductors, nearly always contain a special defect type called dislocation. This defect decisively determines many important material properties, e.g., strength, fracture toughness, or ductility. Over the past years, significant effort has been put into understanding dislocation behavior across different length scales via experimental characterization techniques and simulations. This paper introduces the dislocation ontology (DISO), which defines the concepts and relationships related to linear defects in crystalline materials. We developed DISO using a top-down approach in which we start defining the most general concepts in the dislocation domain and subsequent specialization of them. DISO is published through a persistent URL following W3C best practices for publishing Linked Data. Two potential use cases for DISO are presented to illustrate its usefulness in the dislocation dynamics domain. The evaluation of the ontology is performed in two directions, evaluating the success of the ontology in modeling a real-world domain and the richness of the ontology.
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5111
|c POF4-511
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef Conference
700 1 _ |a Fathalla, Said
|0 P:(DE-Juel1)190520
|b 1
|u fzj
700 1 _ |a Sandfeld, Stefan
|0 P:(DE-Juel1)186075
|b 2
|e Corresponding author
773 _ _ |a 10.1145/3555776.3578739
856 4 _ |u https://dl.acm.org/doi/abs/10.1145/3555776.3578739
909 C O |o oai:juser.fz-juelich.de:1046188
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)185910
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)190520
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)186075
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5111
|x 0
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IAS-9-20201008
|k IAS-9
|l Materials Data Science and Informatics
|x 0
980 _ _ |a contrib
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IAS-9-20201008
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21