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T16. Manufacturing knowledge graphs and semantic layers
Research on giving plant data a shared meaning across systems.
- T16-8Candidate approachSince 2025
Intent-Driven Smart Manufacturing Integrating Knowledge Graphs and Large Language Models
- T16-6Structural parallelSince 2025
Knowledge Graphs as the Missing Data Layer for LLM-Based Industrial Asset Operations
- T16-7Similar problemSince 2025
Fault Cause Identification across Manufacturing Lines through Ontology-Guided and Process-Aware FMEA Graph Learning with LLMs
- T16-1Structural parallel
The Industrial Ontologies Foundry (IOF) Core Ontology
- T16-2Structural parallel
Semantic Integration of Bosch Manufacturing Data Using Virtual Knowledge Graphs
- T16-3Similar problem
Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review
- T16-4Candidate approach
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case
- T16-5Structural parallel
Generation of Asset Administration Shell with Large Language Model Agents
- T16-9Structural parallel
Ontop: Answering SPARQL queries over relational databases
- T16-10Structural parallel
RML: A Generic Language for Integrated RDF Mappings of Heterogeneous Data
- T16-12Similar problem
The Industry 4.0 Standards Landscape from a Semantic Integration Perspective
From research to product use
Operating capabilities, pilots, and technologies in development are identified separately.
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