论文标题
计算机辅助汽车开发中的图形建模
Graph Modeling in Computer Assisted Automotive Development
论文作者
论文摘要
我们考虑为车辆开发的知识图建模，重点是碰撞安全。提供了一种结合各种结构化和非结构化数据源的信息的有组织的模式，其中包括域内的相关概念。特别是，我们提出了用于崩溃计算机辅助工程（CAE）数据的语义，该数据可以在开发过程中搜索性，过滤，建议和崩溃CAE数据的预测。该图建模在R \＆D开发过程和车辆安全性的背景下考虑CAE数据。因此，我们将CAE数据连接到用于评估车辆安全性能的协议。 R \＆D过程包括CAD工程和安全属性，重点是解决多学科问题。我们将与我们的建议相比，讨论其优势和局限性，并确定未来工作的领域。
We consider graph modeling for a knowledge graph for vehicle development, with a focus on crash safety. An organized schema that incorporates information from various structured and unstructured data sources is provided, which includes relevant concepts within the domain. In particular, we propose semantics for crash computer aided engineering (CAE) data, which enables searchability, filtering, recommendation, and prediction for crash CAE data during the development process. This graph modeling considers the CAE data in the context of the R\&D development process and vehicle safety. Consequently, we connect CAE data to the protocols that are used to assess vehicle safety performances. The R\&D process includes CAD engineering and safety attributes, with a focus on multidisciplinary problem-solving. We describe previous efforts in graph modeling in comparison to our proposal, discuss its strengths and limitations, and identify areas for future work.
