Literal-aware knowledge graph embedding for welding quality monitoring: a bosch case
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 …
attempts to learn the embeddings of the entities and relations as numerical vectors and …
Addressing the scalability bottleneck of semantic technologies at bosch
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 …
decisions are vital for optimizing production lines, eg, reducing resource consumption …
[PDF][PDF] RDF-Connect: A declarative framework for streaming and cross-environment data processing pipelines
A Vercruysse, J Pots, JR Meléndez… - … Lifecycle Management for …, 2024 - ceur-ws.org
Data processing pipelines are a crucial component of any data-centric system today.
Machine learning, data integration, and knowledge graph publishing are examples where …
Machine learning, data integration, and knowledge graph publishing are examples where …
[PDF][PDF] Empowering Industry Professionals with Machine Learning through Knowledge Graphs
A Klironomos, GE Mohamed, E Kharlamov - 2024 - ceur-ws.org
The application of machine learning (ML) has become increasingly prevalent in various
industries, offering valuable insights and predictive capabilities. However, the adoption of …
industries, offering valuable insights and predictive capabilities. However, the adoption of …