Graph Modeling in Computer Assisted Automotive Development

@article{Pakiman2022GraphMI,
  title={Graph Modeling in Computer Assisted Automotive Development},
  author={Anahita Pakiman and Jochen Garcke},
  journal={ArXiv},
  year={2022},
  volume={abs/2209.14910}
}
—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… 

Figures from this paper

References

SHOWING 1-10 OF 31 REFERENCES

Crash simulation exploration with energy absorption features and graph algorithms.

  • INS Preprint No
  • 2022

Design and Implementation of an Ontology for Semantic Labeling and Testing: Automotive Global Ontology (AGO)

Two different use cases for the AGO domain ontology are presented to showcase its capabilities in terms of semantic labeling and scenario-based testing.

Structured modeling of heterogeneous CAM model based on process knowledge graph

A structured heterogeneous CAM models based on process knowledge graph is presented, which describes the CAD models and NC processes in a unified way to guide the data mapping and exchange.

Towards a Framework for Automatic Event Detection for Car Crash Simulations

The presented framework is an important step towards automatic design and event detection in an overall simulation data analysis workflow and allows to systematically analyze a design development tree to detect interesting deviations in the crash behaviour caused by design changes and to store these observations in a structured data representation for further analysis by for example artificial intelligence approaches.

Domain-specific Knowledge Graphs: A survey

TOWARDS A FRAMEWORK FOR INTEGRATED AND COLLABORATIVE KNOWLEDGE MANAGEMENT FOR ENGINEERING DESIGN – A CASE STUDY

This work proposes a knowledge management approach to support car crash simulation analysis and ensure the collaboration of different stakeholders in a knowledge-intensive context, using an ontology-based approach to formalise and capture knowledge.

Knowledge graphs

The historical events that lead to the interweaving of data and knowledge are tracked to help improve knowledge and understanding of the world around us.

Empirical Study of Car Crash Simulation Analysis within the Development Phase

A qualitative analysis of the industrial context is described and the dysfunctions in the current practices of the car crash simulation analysis are diagnosed.