使用语义网络技术建模失位动态数据
Ahmad Zainul Ihsan1, Said Fathalla1, Stefan Sandfeld1,2
1Institute of Advanced Simulation-Materials Data Science and Informatics (IAS-9), Forschungszentrum Jülich, Jülich, Germany.
Neural computing & applications
|June 20, 2025
概括
这项研究使用语义网络技术和本体学来模拟晶体材料失位数据. 开发的知识图 (DisLocKG) 和SPARQL终点使材料科学研究的有效数据表示和查询成为可能.
科学领域:
- 材料科学与工程 材料科学与工程
- 计算材料科学科学 计算材料科学
背景情况:
- 晶体材料,包括金属和半导体,在材料科学中至关重要.
- 位移,一种晶体材料的缺陷,显著影响强度,性和性等特性.
- 了解脱位行为至关重要,并且经常通过像脱位动力学这样的模拟来研究.
研究的目的:
- 使用语义网络技术模拟离位动态模拟的数据.
- 增强和调整现有的实体学,以全面地表示失调数据.
- 创建一个可查询的知识图表,用于失位模拟数据.
主要方法:
- 用扩展的位移本体学说明位移模拟数据.
- 将脱位本体学与初级多视角材料本体学和材料设计本体学对齐.
- 开发一个知识图 (DisLocKG) 和一个用于数据查询的SPARQL终点.
主要成果:
- 成功地将离散位移动态数据表示为知识图 (DisLocKG).
- 通过DisLocKG和SPARQL终点展示了高效的数据表示和查询功能.
- 扩展和对齐的本体学,以提高材料数据的语义互操作性.
结论:
- 语义网络技术为建模和管理复杂材料模拟数据提供了强大的方法.
- DisLocKG提供了一个灵活的框架来分析失位行为及其对材料特性的影响.
- 本体工程和知识图构造是推进计算材料科学研究的关键.
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