Executable knowledge graph for transparent machine learning in welding monitoring at bosch

Z Zheng, B Zhou, D Zhou, A Soylu… - Proceedings of the 31st …, 2022 - dl.acm.org
With the development of Industry 4.0 technology, modern industries such as Bosch's welding
monitoring witnessed the rapid widespread of machine learning (ML) based data analytical …

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 …

[PDF][PDF] Knowledge Graph-Based Semantic System for Visual Analytics in Automatic Manufacturing.

B Zhou, Z Zheng, D Zhou, Z Tan, O Savkovic… - ISWC (Posters/Demos …, 2022 - ceur-ws.org
Visual analytics has been important for many data-driven applications in modern industries.
However, there has been limited research of semantic technologies for visual analytics …

[HTML][HTML] ChatKG: Visualizing time-series patterns aided by intelligent agents and a knowledge graph

L Christino, FV Paulovich - Computers & Graphics, 2024 - Elsevier
Line-chart visualizations of temporal data enable users to identify interesting patterns for the
user to inquire about. Using Intelligent Agents (IA), Visual Analytic tools can automatically …

[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 …

[HTML][HTML] Chrontext: Portable SPARQL queries over contextualised time series data in industrial settings

M Bakken, A Soylu - Expert Systems With Applications, 2023 - Elsevier
Industrial information models are standardised ways of representing industrial devices,
equipment, and processes together with the data collected from associated sensors and …

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) …

[PDF][PDF] Enabling Federated Learning Services Using OPC UA, Linked Data and GAIA-X in Cognitive Production

C Friedrich, S Vogt, F Rudolph, P Patolla… - Journal of Machine …, 2024 - jmacheng.not.pl
Value creation in production is based on collaboration of different stakeholders and requires
the secure and sovereign exchange of knowledge. Today, knowledge has mostly been built …

Knowledge-Decks: Automatically Generating Presentation Slide Decks of Visual Analytics Knowledge Discovery Applications

L Christino, T Hill, F Paulovich - arXiv preprint arXiv:2212.01469, 2022 - arxiv.org
Visual Analytics (VA) tools provide ways for users to harness insights and knowledge from
datasets. Recalling and retelling user experiences while utilizing VA tools has attracted …