7 papers
Efficient Dense Vector Search within Knowledge Graph Content Embeddings
Benedikt Kantz, Tobias Schreck, Gianmaria Silvello
Knowledge graphs are a core component of today's knowledge infrastructure, supporting reasoning and anchoring knowledge systems to verifiable facts. RDF stores and SPARQL engines f…
Clusters in Focus: A Simple and Robust Detail-On-Demand Dashboard for Patient Data
Lukas Schilcher, Peter Waldert, Benedikt Kantz +1
Exploring tabular datasets to understand how different feature pairs partition data into meaningful cohorts is crucial in domains such as biomarker discovery, yet comparing cluster…
Graph Queries from Natural Language using Constrained Language Models and Visual Editing
Benedikt Kantz, Kevin Innerebner, Peter Waldert +3
Querying knowledge bases using ontologies is usually performed using dedicated query languages, question-answering systems, or visual query editors for Knowledge Graphs. We propose…
Parameter Space Analysis through Guided Visual Interpolations
Benedikt Kantz, Peter Waldert, Stefan Lengauer +3
We propose Parameter Space Analysis through Guided Visual Interpolations (ParamInter), a novel tool for high-dimensional input parameter space analysis by making interpolation towa…
Difference Views for Visual Graph Query Building
Benedikt Kantz, Stefan Lengauer, Peter Waldert +1
Knowledge Graphs (KGs) contain vast amounts of linked resources that encode knowledge in various domains, which can be queried and searched for using specialized languages like SPA…
OnSET: Ontology and Semantic Exploration Toolkit
Benedikt Kantz, Kevin Innerebner, Peter Waldert +3
Retrieval over knowledge graphs is usually performed using dedicated, complex query languages like SPARQL. We propose a novel system, Ontology and Semantic Exploration Toolkit (OnS…
Robustness of Explainable Artificial Intelligence in Industrial Process Modelling
Benedikt Kantz, Clemens Staudinger, Christoph Feilmayr +4
eXplainable Artificial Intelligence (XAI) aims at providing understandable explanations of black box models. In this paper, we evaluate current XAI methods by scoring them based on…