Knowledge graph-based manufacturing process planning: A state-of-the-art review

Y **ao, S Zheng, J Shi, X Du, J Hong - Journal of Manufacturing Systems, 2023 - Elsevier
Computer-aided process planning is the bridge between computer-aided design and
computer-aided manufacturing. With the advent of the intelligent manufacturing era, process …

Performance-driven closed-loop optimization and control for smart manufacturing processes in the cloud-edge-device collaborative architecture: A review and new …

C Zhang, Y Wang, Z Zhao, X Chen, H Ye, S Liu… - Computers in …, 2024 - Elsevier
With the transformation and upgrading of the manufacturing industry, manufacturing systems
have become increasingly complex in terms of the structural functionality, process flows …

Knowledge-based digital twin system: Using a knowlege-driven approach for manufacturing process modeling

C Su, Y Han, X Tang, Q Jiang, T Wang, Q He - Computers in Industry, 2024 - Elsevier
Abstract The Knowledge-Based Digital Twin System is a digital twin system developed on
the foundation of a knowledge graph, aimed at serving the complex manufacturing process …

Enhancing industry 4.0 standards interoperability via knowledge graphs with natural language processing

N Melluso, I Grangel-González, G Fantoni - Computers in Industry, 2022 - Elsevier
Abstract Industry 4.0 (I4. 0) has brought several challenges related to the need to acquire
and integrate large amounts of data from multiple sources in order to integrate these …

Integrating conversational agents and knowledge graphs within the scholarly domain

A Meloni, S Angioni, A Salatino, F Osborne… - Ieee …, 2023 - ieeexplore.ieee.org
In the last few years, chatbots have become mainstream solutions adopted in a variety of
domains for automatizing communication at scale. In the same period, knowledge graphs …

A divide and conquer framework for knowledge editing

X Han, R Li, X Li, JZ Pan - Knowledge-Based Systems, 2023 - Elsevier
As Pre-trained language models (LMs) play an important role in various Natural Language
Processing (NLP) tasks, it is becoming increasingly important to make sure the knowledge …

Industry 4.0 readiness assessment method based on RAMI 4.0 standards

A Bastos, MLSC De Andrade, RT Yoshino… - IEEE …, 2021 - ieeexplore.ieee.org
The Industry 4.0 concept inception definitively provided a disruptive glimpse in terms of
possibilities in a multidisciplinary spectrum. The convergence and synergy from …

Semantic web and machine learning techniques addressing semantic interoperability in Industry 4.0

MM Hafidi, M Djezzar, M Hemam, FZ Amara… - International Journal of …, 2023 - emerald.com
Purpose This paper aims to offer a comprehensive examination of the various solutions
currently accessible for addressing the challenge of semantic interoperability in cyber …

Lpg-based knowledge graphs: A survey, a proposal and current trends

D Di Pierro, S Ferilli, D Redavid - Information, 2023 - mdpi.com
A significant part of the current research in the field of Artificial Intelligence is devoted to
knowledge bases. New techniques and methodologies are emerging every day for the …

Process-aware IIoT Knowledge Graph: A semantic model for Industrial IoT integration and analytics

C Diamantini, A Mircoli, D Potena, E Storti - Future Generation Computer …, 2023 - Elsevier
The integration of the huge data streams produced by the Industrial Internet of Things (IIoT)
can provide invaluable knowledge in the context of Industry 4.0, and is also an open …