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 …

ExeKG: Executable knowledge graph system for user-friendly data analytics

Z Zheng, B Zhou, D Zhou, A Soylu… - Proceedings of the 31st …, 2022 - dl.acm.org
Data analytics including machine learning (ML) is essential to extract insights from
production data in modern industries. However, industrial ML is affected by: the low …

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 …

Schere: Schema reshaping for enhancing knowledge graph construction

D Zhou, B Zhou, Z Zheng, A Soylu, O Savkovic… - Proceedings of the 31st …, 2022 - dl.acm.org
Automatic knowledge graph (KG) construction is widely used for eg data integration,
question answering and semantic search. There are many approaches of automatic KG …

Addressing the scalability bottleneck of semantic technologies at bosch

D Rincon-Yanez, MH Gad-Elrab, D Stepanova… - European Semantic …, 2023 - Springer
At the heart of smart manufacturing is real-time semi-automatic decision-making. Such
decisions are vital for optimizing production lines, eg, reducing resource consumption …

[PDF][PDF] Towards A Statistic Ontology for Data Analysis in Smart Manufacturing.

Z Zheng, B Zhou, D Zhou, AQ Khan, A Soylu… - ISWC (Posters/Demos …, 2022 - ceur-ws.org
Statistical analytics has been playing an important role for uncovering patterns and trends
from data in smart manufacturing. However, how statistical analytics are performed is usually …

Towards a visualisation ontology for reusable visual analytics

B Zhou, Z Tan, Z Zheng, D Zhou, O Savkovic… - Proceedings of the 11th …, 2022 - dl.acm.org
Data analytics including machine learning analytics is essential to extract insights from
production data in modern industries. Visual analytics is essential for data analytics for eg …

[PDF][PDF] Towards Executable Knowledge Graph Translation.

D Zhou, B Zhou, Z Zheng, Z Tan, EV Kostylev… - ISWC (Posters/Demos …, 2022 - ceur-ws.org
Data analytics is vital in manufacturing for extracting insights from production data and
optimising production processes. Semantic technologies including knowledge graphs (KG) …

Intelligent Mobility Assimilating IoT in Autonomous Vehicles: Foster Sustainable Cities and Communities

B Singh, C Kaunert, S Lal, MK Arora… - … Sustainable Internet of …, 2025 - igi-global.com
Autonomous vehicle (AV) technologies, coupled with the rapid growth of the internet of
things (IoT), have ushered in an era of intelligent mobility. This evolution holds the potential …

Datalog with external machine learning functions for automated cloud resource configuration

Z Zheng, O Savkovic, H Phuc Luu, A Soylu… - 2023 - oda.oslomet.no
Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented amount of data
from factory production, posing big data challenges. In that context, distributed computing …