A Perspective Survey on Industrial Knowledge Graphs: Recent Advances, Open Challenges, and Future Directions-Reference-Cited by-同舟云学术

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A Perspective Survey on Industrial Knowledge Graphs: Recent Advances, Open Challenges, and Future Directions

Published:2023-07-09 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Machine Learning and Cybernetics (ICMLC)
language:
Short-container-title:

Author:

Shang Yuhu¹,Ren Yimeng¹,Peng Hao²,Wang Yue²,Wang Gang³,Li Zhong Cheng⁴,Yang Yangzhao⁵,Li Yangyang⁵

Affiliation:

1. School of artificial Intelligence, Tianjin University of Science & Technology,Tianjin,China,300457

2. School of Cyber Science and Technology, Beihang University,Beijing,China,1000191

3. School of Automation, Beijing Institute of Technology,Beijing,China,100081

4. China Tower Corporation Hebei Branch,China

5. Academy of Cyber,China

Funder

National Key R&D Program of China

NSFC

Natural Science Foundation of Beijing Municipality

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10327787/10327919/10327989.pdf?arnumber=10327989

Reference48 articles.

1. TransFusion: Multi-Modal Fusion for Video Tag Inference via Translation-based Knowledge Embedding

2. Knowledge Graph Augmentation Based on Tabular Data: A Case Study for Industrial Safety Inspection

3. KGAssembly: Knowledge graph-driven assembly process generation and evaluation for complex components

4. A novel cascade hybrid many-objective recommendation algorithm incorporating multistakeholder concerns

5. Dual Contrastive Prediction for Incomplete Multi-View Representation Learning

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