Knowledge graphs in manufacturing and production: a systematic literature review

G Buchgeher, D Gabauer, J Martinez-Gil… - IEEE …, 2021 - ieeexplore.ieee.org
Knowledge graphs in manufacturing and production aim to make production lines more
efficient and flexible with higher quality output. This makes knowledge graphs attractive for …

State of the art review on Industry 4.0 in manufacturing with the focus on automotive sector

VA Wankhede, S Vinodh - International Journal of Lean Six Sigma, 2022 - emerald.com
Purpose The manufacturing domain presently focusing on Industry 4.0 (I4. 0). One such
domain is the automotive sector. The purpose of this study is to analyse the I4. 0 research …

Creating knowledge graph of electric power equipment faults based on BERT–BiLSTM–CRF model

F Meng, S Yang, J Wang, L Xia, H Liu - Journal of Electrical Engineering & …, 2022 - Springer
Creating a large-scale knowledge graph of electric power equipment faults will facilitate the
development of automatic fault diagnosis and intelligent question answering (QA) in the …

Recent trends in knowledge graphs: theory and practice

S Tiwari, FN Al-Aswadi, D Gaurav - Soft Computing, 2021 - Springer
With the extensive growth of data that has been joined with the thriving development of the
Internet in this century, finding or getting valuable information and knowledge from these …

Integrating and navigating engineering design decision-related knowledge using decision knowledge graph

J Hao, L Zhao, J Milisavljevic-Syed, Z Ming - Advanced Engineering …, 2021 - Elsevier
Designers are usually facing a problem of finding information from a huge amount of
unstructured textual documents in order to prepare for a decision to be made. The major …

An end-to-end tabular information-oriented causality event evolutionary knowledge graph for manufacturing documents

B Zhou, B Hua, X Gu, Y Lu, T Peng, Y Zheng… - Advanced Engineering …, 2021 - Elsevier
Industrial tabular information extraction and its semantic fusion with text (ITIESF) is of great
significance in converting and fusing industrial unstructured data into structured knowledge …

Building knowledge graphs from unstructured texts: Applications and impact analyses in cybersecurity education

G Agrawal, Y Deng, J Park, H Liu, YC Chen - Information, 2022 - mdpi.com
Knowledge graphs gained popularity in recent years and have been useful for concept
visualization and contextual information retrieval in various applications. However …

Coarse-to-fine knowledge graph domain adaptation based on distantly-supervised iterative training

H Cai, W Liao, Z Liu, Y Zhang, X Huang, S Ding… - arXiv preprint arXiv …, 2022 - arxiv.org
Modern supervised learning neural network models require a large amount of manually
labeled data, which makes the construction of domain-specific knowledge graphs time …

Ids-kg: An industrial dataspace-based knowledge graph construction approach for smart maintenance

Y Wang, Y Cheng, Q Qi, F Tao - Journal of Industrial Information Integration, 2024 - Elsevier
With the development of information technology in manufacturing enterprises, a large
amount of equipment maintenance data and knowledge are recorded. These rich …

Issues with decision making methods for supplier segmentation in supplier relationship management: A literature review

K Shiralkar, A Bongale, S Kumar - Materials today: proceedings, 2022 - Elsevier
The recent global pandemic due to COVID-19 disease has triggered significant supply chain
disruptions for global firms. Global firms now realize that all suppliers do not contribute …