Hybrid learning-based digital twin for manufacturing process: Modeling framework and implementation
Digital twin (DT) and artificial intelligence (AI) technologies are powerful enablers for
Industry 4.0 toward sustainable resilient manufacturing. Digital twins of machine tools and …
Industry 4.0 toward sustainable resilient manufacturing. Digital twins of machine tools and …
Executable knowledge graphs for machine learning: a Bosch case of welding monitoring
Data analysis including ML are essential to extract insights from production data in modern
industries. However, industrial ML is affected by: the low transparency of ML towards non …
industries. However, industrial ML is affected by: the low transparency of ML towards non …
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 …
Enhancing knowledge graph generation with ontology reshaping–Bosch case
Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case |
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Executable knowledge graph for transparent machine learning in welding monitoring at bosch
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 …
monitoring witnessed the rapid widespread of machine learning (ML) based data analytical …
Towards generalized welding ontology in line with ISO and knowledge graph construction
Towards Generalized Welding Ontology in Line with ISO and Knowledge Graph Construction |
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Query-based industrial analytics over knowledge graphs with ontology reshaping
Industrial analytics that includes among others equipment diagnosis and anomaly detection
heavily relies on integration of heterogeneous production data. Knowledge Graphs (KGs) as …
heavily relies on integration of heterogeneous production data. Knowledge Graphs (KGs) as …
ExeKG: Executable knowledge graph system for user-friendly data analytics
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 …
production data in modern industries. However, industrial ML is affected by: the low …
Schere: Schema reshaping for enhancing knowledge graph construction
Automatic knowledge graph (KG) construction is widely used for eg data integration,
question answering and semantic search. There are many approaches of automatic KG …
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.
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 …
However, there has been limited research of semantic technologies for visual analytics …