[1] LLM-supported Ontology Learning: Identifying optimal settings for low-resource ontologies
Upal Bhattacharya

[2] Towards Explainable and Reliable Compositional Behavior in Knowledge Graph Question Answering Systems
David Maria Schmidt

[3] Scalable Uncertainty Reasoning in Knowledge Graphs
Jingcheng Wu

[4] Graph visualization for misinformation explanation
Tomáš Březina

[5] Tackling Real-World Data Integration Challenges through Generic RML Extensions
Els de Vleeschauwer

[6] In Data or Invisible: Toward a Better Digital Representation of Low-Resource Languages with Knowledge Graphs
Ndeye-Emilie Mbengue

[7] Blending Ontology, Topology and Measure Theory
Samir Kipper

[8] Advanced Negotiation of Data-Access Contracts in Data Spaces
Khensa Daoudi

[9] Explainable Knowledge Graph Completion for Intelligent Manufacturing Systems
Simon Blattner

[10] AgriFLARE: Towards Trustworthy and Privacy-Preserving AI in Smart Agriculture
Yazzed Hussein Younis Abdalla

[11] From Prompting to Grounding: Active Alignment Mechanisms for Large Language Models
Vanessa Frohn

[12] Conversational Agents for Knowledge Graph Construction
Nicole Obretincheva

[13] A Taxonomy to Harmonize Actors, Rights, and Obligations across AI and Data Regulations
Gabriela Kurteva

[14] Semantic description of heterogeneous environmental monitoring data and its use with a context-aware decision support system
Chloé Jabéa

[15] Toward Intuitive Knowledge Graph Visualization for Digital Musicology: Design Principles for Exploring Lute Tablature Concordances
Ilias Kyriazis

[16] Towards a Sovereign Agentic Web: Decentralized Personalization and Proactive Risk Mitigation
Fernando Spadea

[17] Inferring Sensitive Attributes from Knowledge Graph Embeddings: Attack and Defense Strategies
Yasmine Hayder

[18] Evaluating Knowledge Graph Embeddings
Antrea Christou