Digital twin-enabled dynamic spatial-temporal knowledge graph for production logistics resource allocation
Production logistics (PL) is increasingly receiving attention from supply chain research. The
spatial disorder and temporal asynchrony of the PL resources due to the uncertainty and …
spatial disorder and temporal asynchrony of the PL resources due to the uncertainty and …
Dynamic knowledge modeling and fusion method for custom apparel production process based on knowledge graph
Compared with ordinary mass-produced apparel products, custom apparel products will
generate more data at each stage of their life cycle. Such data is in a highly dynamic state …
generate more data at each stage of their life cycle. Such data is in a highly dynamic state …
Relation extraction for manufacturing knowledge graphs based on feature fusion of attention mechanism and graph convolution network
K Du, B Yang, S Wang, Y Chang, S Li, G Yi - Knowledge-Based Systems, 2022 - Elsevier
Relation extraction is a crucial step in the constructions of knowledge graphs (KGs).
However, relation extraction is performed manually in the manufacturing field due to the …
However, relation extraction is performed manually in the manufacturing field due to the …
Research on event logic knowledge graph construction method of robot transmission system fault diagnosis
J Deng, T Wang, Z Wang, J Zhou, L Cheng - IEEE Access, 2022 - ieeexplore.ieee.org
Knowledge graph technology has important guiding significance for efficient and orderly
fault diagnosis of robot transmission system. Taking the historical robot maintenance logs of …
fault diagnosis of robot transmission system. Taking the historical robot maintenance logs of …
图神经网络应用于知识图谱推理的研究综述
孙水发, **小龙, **伟生, 雷大江, **思慧… - 计算机科学与 …, 2023 - search.ebscohost.com
知识推理(KR) 作为知识图谱构建的一个重要环节, 一直是该领域研究的焦点问题.
随着知识图谱应用研究的不断深入和范围的不断扩大, 将图神经网络(GNN) …
随着知识图谱应用研究的不断深入和范围的不断扩大, 将图神经网络(GNN) …
A life-cycle digital-twin collaboration framework based on the industrial internet identification and resolution
Y Fan, C Dai, S Huang, P Hu, X Wang… - The International Journal of …, 2022 - Springer
The new generation of smart manufacturing technology enables upgrading within the
manufacturing industry, as well as increase the complexity of manufacturing systems. The …
manufacturing industry, as well as increase the complexity of manufacturing systems. The …
航空制造知识图谱构建研究综述.
邱凌, 张安思, **少波, 张仪宗… - … of Computers/Jisuanji …, 2022 - search.ebscohost.com
目前航空装备制造企业在设计, 制造相关流程中积累了大量数据, 基于知识图谱技术可以对这些
数据进行有效融合与管理, 对不断更新的制造知识进行挖掘, 为航空制造企业智慧化升级提供 …
数据进行有效融合与管理, 对不断更新的制造知识进行挖掘, 为航空制造企业智慧化升级提供 …
User-Driven: A Product Innovation Design Method for a Digital Twin Combined with Flow Function Analysis
M Fu, Y Hao, Z Gao, X Chen, X Liu - Processes, 2022 - mdpi.com
Since the lack of a specific design method, guidance and user participation in the product
innovation design of digital twins, a product innovation design process of a user requirement …
innovation design of digital twins, a product innovation design process of a user requirement …
Knowledge enhanced graph inference network based entity-relation extraction and knowledge graph construction for industrial domain
Z Han, J Wang - Frontiers of Engineering Management, 2024 - Springer
With the escalating complexity in production scenarios, vast amounts of production
information are retained within enterprises in the industrial domain. Probing questions of …
information are retained within enterprises in the industrial domain. Probing questions of …
A Survey on Knowledge Graph Related Research in Smart City Domain
Z Wang, F Han, S Zhao - ACM Transactions on Knowledge Discovery …, 2024 - dl.acm.org
Knowledge graph employs the specific graph structure to store knowledge in the form of
entities, relations, attributes, and so forth, which can effectively represent correlations among …
entities, relations, attributes, and so forth, which can effectively represent correlations among …