An ABGE-aided manufacturing knowledge graph construction approach for heterogeneous IIoT data integration-Reference-Cited by-同舟云学术

An ABGE-aided manufacturing knowledge graph construction approach for heterogeneous IIoT data integration

Published:2022-03-11 Issue: Volume: Page:1-15
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Ren Lei¹^ORCID,Li Yingjie¹^ORCID,Wang Xiaokang²^ORCID,Cui Jin³^ORCID,Zhang Lin¹^ORCID

Affiliation:

1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, People's Republic of China

2. Department of Computer Science, St. Francis Xavier University, Antigonish, Canada

3. Research Institute for Frontier Science, Beihang University, Beijing, People's Republic of China

Funder

The National Key Research and Development Program of China

NSFC

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2022.2042416

Reference25 articles.

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3. Devlin, Jacob, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. “Bert: Pre-Training of Deep Bidirectional Transformers for Language Understanding.” preprint arXiv:1810.04805.

4. Grover, Aditya, and Jure Leskovec. 2016, August 13–17. “Node2vec: Scalable Feature Learning for Networks.” Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, pp. 855–864.

5. Empowering production workers with digitally facilitated knowledge processes – a conceptual framework

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