A kind of intelligent dynamic industrial event knowledge graph and its application in process stability evaluation
Author:
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10845-024-02325-2.pdf
Reference32 articles.
1. Bharadwaj, A. G., & Starly, B. (2022). Knowledge graph construction for product designs from large CAD model repositories. Advanced Engineering Informatics, 53, 101680. https://doi.org/10.1016/j.aei.2022.101680
2. Buchgeher, G., Gabauer, D., Martinez-Gil, J., & Ehrlinger, L. (2021). Knowledge graphs in manufacturing and production: A systematic literature review. IEEE Access, 9, 55537–55554. https://doi.org/10.1109/ACCESS.2021.3070395
3. Costa, T. S., Gottschalk, S., & Demidova, E. (2020). Event-QA: A dataset for event-centric question answering over knowledge graphs. In Proceedings of the 29th ACM international conference on information & knowledge management. https://doi.org/10.1145/3340531.3412760
4. Deng, J., Chen, C., Huang, X., Chen, W., & Cheng, L. (2023). Research on the construction of event logic knowledge graph of supply chain management. Advanced Engineering Informatics, 56, 101921. https://doi.org/10.1016/j.aei.2023.101921
5. Deng, J., Wang, T., Wang, Z., Zhou, J., & Cheng, L. (2022). Research on event logic knowledge graph construction method of robot transmission system fault diagnosis. IEEE Access, 10, 17656–17673. https://doi.org/10.1109/ACCESS.2022.3150409
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