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 …
Digital twin: Values, challenges and enablers from a modeling perspective
Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …
data and simulators for real-time prediction, optimization, monitoring, controlling, and …
Digital twin: Values, challenges and enablers
A digital twin can be defined as an adaptive model of a complex physical system. Recent
advances in computational pipelines, multiphysics solvers, artificial intelligence, big data …
advances in computational pipelines, multiphysics solvers, artificial intelligence, big data …
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 …
[HTML][HTML] Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects
Smart manufacturing (SM) confronts several challenges inherently suited to knowledge
graphs (KGs) capabilities. The first key challenge lies in the synthesis of complex and varied …
graphs (KGs) capabilities. The first key challenge lies in the synthesis of complex and varied …
Ontology reshaping for knowledge graph construction: applied on Bosch welding case
Automatic knowledge graph (KG) construction is widely used in industry for data integration
and access, and there are several approaches to enable (semi-) automatic construction of …
and access, and there are several approaches to enable (semi-) automatic construction of …
Scaling usability of ML analytics with knowledge graphs: exemplified with a Bosch welding case
Automated welding is heavily used in the automotive industry to produce car bodies by
connecting metal parts with welding spots. Modern welding solutions and manufacturing …
connecting metal parts with welding spots. Modern welding solutions and manufacturing …
A design method for edge–cloud collaborative product service system: a dynamic event-state knowledge graph-based approach with real case study
M Yang, Y Yang, P Jiang - International Journal of Production …, 2024 - Taylor & Francis
Product service system (PSS) is an effective approach to achieve win–win situation between
service providers and consumers, and the design of PSS is the first step of its application …
service providers and consumers, and the design of PSS is the first step of its application …
Towards semantically enhanced digital twins
E Kharlamov, F Martin-Recuerda… - … Conference on Big …, 2018 - ieeexplore.ieee.org
Digital twins (DTs) are a powerful mechanism for representing complex industrial assets
such as oil platforms as digital models. These models can facilitate temporal analyses and …
such as oil platforms as digital models. These models can facilitate temporal analyses and …
Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning
Abstract Knowledge graph (KG) techniques have achieved successful results in many tasks,
especially in semantic web and natural language processing domains. In recent years …
especially in semantic web and natural language processing domains. In recent years …