14.10 - 14.25 Welcome
Chair: Claudia d'Amato
14.25 - 15.10 Keynote. Ilaria Tiddi. Knowledge Graphs for eXplainable AI: past, present and future directions .
15.10 - 15.50 Session 1 - Explanations for Predictive Tasks on Knowledge Graphs
Chair: Roberto Barile
15.10 - 15.25 Long paper. Adrianna Janik and Luca Costabello. ExamplE: Explaining Knowledge Graph Embedding Predictions with Influential Examples.
15.25 - 15.40 Long paper. Verdiana Schena, Simona Colucci, Francesco M. Donini, Catia Pesquita and Floriano Scioscia. Beyond Vector Proximity: Evaluating Semantic Cohesion in Knowledge Graph Embeddings.
15.40 - 15.50 Short paper. Anna Brauer. Explainable scientific resource recommendation through aspect-based relatedness over a spatio-temporal knowledge graph.
15.50 - 16.20 Coffee Break
16.20 - 17.30 Session 2 - Knowledge Graphs for Explanation
Chair: Ernesto Jiménez-Ruiz
16.20 - 16.30 Short paper. Danielle Villa and Deborah McGuinness. EFEMO-KG: A Knowledge Graph for Explanation Faithfulness Measures.
16.30 - 16.45 Long paper. Devin De Silva, Henrique Santos, John S. Erickson and Deborah L. McGuinness. Explainability and Traceability of AI Systems through Provenance Tagging.
16.45 - 17.00 Long paper. Muhammed Ashrah, Ashwin A, Sahana Karthik and Raghava Mutharaju. SAFER: Semantic Assessment of Feasible Explanations for Algorithmic Recourse.
17.00 - 17.15 Long paper. Łukasz Sobczak, Nur Keleşoğlu and Joanna Domańska. Knowledge-Graph-Grounded Multimodal Explanations for Trustworthy Time-Series Forecasting in DevOps Systems.
17.15 - 17.30 Long paper. Nur Keleşoğlu and Łukasz Sobczak. Why the Robot Said No: Knowledge-Graph-Grounded Explanations for LLM-Based Robot Planning.
17.30 - 18.00 Open Discussion and Closing
Chair: Claudia d'Amato