Scaling data science solutions with semantics and machine learning: Bosch case

B Zhou, N Nikolov, Z Zheng, X Luo, O Savkovic… - International Semantic …, 2023 - Springer
Abstract Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented
amount of data from factory production, posing big data challenges in volume and variety. In …

Semantic modeling, development and evaluation for the resistance spot welding industry

M Yahya, B Zhou, JG Breslin, MI Ali… - IEEE Access, 2023 - ieeexplore.ieee.org
The ongoing industrial revolution termed Industry 4.0 (I4. 0) has borne witness to a series of
profound changes towards increasing smart automation, particularly in the industrial sectors …

Literal-aware knowledge graph embedding for welding quality monitoring: a bosch case

Z Tan, B Zhou, Z Zheng, O Savkovic, Z Huang… - International Semantic …, 2023 - Springer
Recently there has been a series of studies in knowledge graph embedding (KGE), which
attempts to learn the embeddings of the entities and relations as numerical vectors and …

ANSR-DT: An Adaptive Neuro-Symbolic Learning and Reasoning Framework for Digital Twins

SB Hakim, M Adil, A Velasquez, HH Song - arXiv preprint arXiv …, 2025 - arxiv.org
In this paper, we propose an Adaptive Neuro-Symbolic Learning Framework for digital twin
technology called``ANSR-DT." Our approach combines pattern recognition algorithms with …

[PDF][PDF] Integrating I4. 0 Knowledge Graphs with Large Language Models Beyond SPARQL Endpoints

A Wahid, M Yahya, F Zaman, B Zhou, JG Breslin… - 2022 - johnbreslin.com
Abstract Industry 4.0 (I4. 0) knowledge graphs are a common way to represent industrial
information models. Conventional SPARQL querying systems require the users to be …