DAO-XAI 2024
Data meets Ontologies in Explainable AI 2024

Table of Contents

• Preface
  

Invited Talks

• Understanding XAI Through the Philosopher’s Lens: A Historical Perspective
  Martina Mattioli, Antonio Emanuele Cinà, Marcello Pelillo
• Neurosymbolic Visual Commonsense
  Mehul Bhatt

Regular Papers

• Drug Repurposing Hypothesis Validation with Knowledge-infused Explanations
  Susana Nunes, Catia Pesquita
• Towards a BFO-based Ontology of Understanding in Explanatory Interactions
  Meisam Booshehri, Hendrik Buschmeier, Philipp Cimiano
• Can Knowledge Graphs and Retrieval-Augmented Generation be combined to Explain Query/Answer Relationships Truthfully?
  Vincent Armant, Amira Mouakher, Felipe Vargas-Rojas, Danai Symeonidou, Joris Guérin, Isabelle Mougenot, Jean-Christophe Desconnets
• Exploration of Core Concepts Required for Mid- and Domain-level Ontology Development to Facilitate Explainable-AI-readiness of Data and Models
  Martin Thomas Horsch, Silvia Chiacchiera, Ilian Todorov, Ana Teresa Correia, Aditya Dey, Natalia Konchakova, Sebastian Scholze, Simon Stephan, Kristin Tøndel, Arkopaul Sarkar, M. Hedi Karray, Fadi Al Machot, Björn Schembera
• Building a Temporal Knowledge Graph for Electronic Health Records
  Ricardo Miguel Serafim de Carvalho, Catia Pesquita, Andreia Sofia Teixeira
• Interpretable Classifiers for Tabular Data via Feature Selection and Discretization
  Reijo Jaakkola, Tomi Janhunen, Antti Kuusisto, Masood Feyzbakhsh Rankooh, Miikka Vilander
• A Hybrid Question Answering Model with Ontological Integration for Environmental Information
  Tianda Sun, Jamie Carr, Dimitar Kazakov