54 citations · 107 across the 6 of their papers we have counts for
4 papers · 1 filter
Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis
Lukas Bahr, Christoph Wehner, Judith Wewerka +3
Failure mode and effects analysis (FMEA) is an essential tool for mitigating potential failures, particularly during the ramp-up phases of new products. However, its effectiveness…
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma
Christoph Wehner, Chrysa Iliopoulou, Ute Schmid +1
In this paper, we introduce a post-hoc and local explainable AI method tailored for Knowledge Graph Embedding (KGE) models. These models are essential to Knowledge Graph Completion…
Comprehensible Artificial Intelligence on Knowledge Graphs: A survey
Simon Schramm, Christoph Wehner, Ute Schmid
Artificial Intelligence applications gradually move outside the safe walls of research labs and invade our daily lives. This is also true for Machine Learning methods on Knowledge…
Interactive and Intelligent Root Cause Analysis in Manufacturing with Causal Bayesian Networks and Knowledge Graphs
Christoph Wehner, Maximilian Kertel, Judith Wewerka
Root Cause Analysis (RCA) in the manufacturing of electric vehicles is the process of identifying fault causes. Traditionally, the RCA is conducted manually, relying on process exp…