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 …
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 …
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 …
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 …
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
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 …
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
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 …
significance in converting and fusing industrial unstructured data into structured knowledge …
Building knowledge graphs from unstructured texts: Applications and impact analyses in cybersecurity education
Knowledge graphs gained popularity in recent years and have been useful for concept
visualization and contextual information retrieval in various applications. However …
visualization and contextual information retrieval in various applications. However …
Coarse-to-fine knowledge graph domain adaptation based on distantly-supervised iterative training
Modern supervised learning neural network models require a large amount of manually
labeled data, which makes the construction of domain-specific knowledge graphs time …
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
With the development of information technology in manufacturing enterprises, a large
amount of equipment maintenance data and knowledge are recorded. These rich …
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
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 …
disruptions for global firms. Global firms now realize that all suppliers do not contribute …