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001046188 005__ 20250916202449.0
001046188 0247_ $$2doi$$a10.1145/3555776.3578739
001046188 037__ $$aFZJ-2025-03724
001046188 1001_ $$0P:(DE-Juel1)185910$$aIhsan, Ahmad Zainul$$b0
001046188 1112_ $$aSAC '23: 38th ACM/SIGAPP Symposium on Applied Computing$$cTallinn$$d2023-03-27 - 2023-03-31$$wEstonia
001046188 245__ $$aDISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials
001046188 260__ $$bACM New York, NY, USA$$c2023
001046188 300__ $$a1746 - 1753
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001046188 520__ $$aCrystalline materials, such as metals and semiconductors, nearly always contain a special defect type called dislocation. This defect decisively determines many important material properties, e.g., strength, fracture toughness, or ductility. Over the past years, significant effort has been put into understanding dislocation behavior across different length scales via experimental characterization techniques and simulations. This paper introduces the dislocation ontology (DISO), which defines the concepts and relationships related to linear defects in crystalline materials. We developed DISO using a top-down approach in which we start defining the most general concepts in the dislocation domain and subsequent specialization of them. DISO is published through a persistent URL following W3C best practices for publishing Linked Data. Two potential use cases for DISO are presented to illustrate its usefulness in the dislocation dynamics domain. The evaluation of the ontology is performed in two directions, evaluating the success of the ontology in modeling a real-world domain and the richness of the ontology.
001046188 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
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001046188 7001_ $$0P:(DE-Juel1)190520$$aFathalla, Said$$b1$$ufzj
001046188 7001_ $$0P:(DE-Juel1)186075$$aSandfeld, Stefan$$b2$$eCorresponding author
001046188 773__ $$a10.1145/3555776.3578739
001046188 8564_ $$uhttps://dl.acm.org/doi/abs/10.1145/3555776.3578739
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001046188 920__ $$lyes
001046188 9201_ $$0I:(DE-Juel1)IAS-9-20201008$$kIAS-9$$lMaterials Data Science and Informatics$$x0
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