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<pre>
        DAO-XAI 2021
Data meets Applied Ontologies
      in Explainable AI

Proceedings of the 3rd International Workshop on
Data meets Applied Ontologies in Explainable AI
                 (DAO-XAI 2021)
    Co-located with DL 2021 and BAKS 2021
       Bratislava, Slovakia, 18–19 September 2021




                      Edited by
  Roberto Confalonieri | Oliver Kutz | Diego Calvanese
                                                                                           PREFACE



   This volume contains the papers presented at the 3rd International Workshop on Data meets
Applied Ontologies in Explainable AI (DAO-XAI 2021), held in Bratislava, Slovakia, on 18–19
September 2021.
   DAO-XAI 2021 was the 3rd edition of the Data meets Applied Ontologies series, a venue that
provides opportunities for stakeholders from the academia, industry, and public organisations
to present their latest developments in ontology-mediated data integration, data access and
analysis techniques, and data-driven applications. This 3rd edition of the workshop series was
dedicated to the role played by knowledge representation, ontologies, and knowledge graphs in
Explainable Artificial Intelligence, in particular, to build trustworthy and explainable decision
support systems. Previous editions were held at JOWO 2017 and JOWO 2019.
   The workshop was co-located with the Bratislava Knowledge September (BAKS) 2021, a joint
meeting of researchers, students, and industry professionals dealing with various aspects of
knowledge processing, which took place in Bratislava, from 18 to 23 September 2021. BAKS
hosted the 9th International Conference on Artificial Neural Networks (ICANN 2021) and the
34th International Workshop on Description Logics (DL 2021). Due to the COVID-19 pandemic,
DAO-XAI 2021 was held in hybrid mode, with online and in-person participation.
   We received 9 submissions out of which 6 papers were accepted as regular papers, and 2
as extended abstracts. DAO-XAI 2021 offered an interesting and diverse program, which in
addition to the technical papers, included an invited talk by the leading expert Luciano Serafini
(FBK Trento, Italy) on “Learning and Reasoning with Logic Tensor Networks: The Framework
and an Application”. The invited talk by Luciano Serafini was offered jointly with the 34th
International Workshop on Description Logics (DL 2021).
   We are very grateful to the European Association for Artificial Intelligence (EurAI) for
providing funds for our invited speaker in the face of considerable uncertainties. We are
also grateful to the Program Committee for their invaluable efforts in providing helpful and
informative reviews for all submissions in a timely fashion. Finally, special thanks go to Martin
Homola, the General and Local Chair of DL 2021, for his engagement in the local organisation
and constant support during the co-location.

October 2021                                                                                                                                             Roberto Confalonieri
                                                                                                                                                         Oliver Kutz
                                                                                                                                                         Diego Calvanese




3rd International Workshop on Data meets Applied Ontologies in Explainable Artificial Intelligence (DAO-XAI 2021)
                                    © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
 CEUR
 Workshop
 Proceedings
               http://ceur-ws.org
               ISSN 1613-0073
                                    CEUR Workshop Proceedings (CEUR-WS.org)
                                 ORGANISATION


We list below the people who contributed to the organization of the DAO-XAI 2021 workshop.


Program Chairs
   • Roberto Confalonieri, Free University of Bozen-Bolzano, Faculty of Computer Science,
     Italy
   • Oliver Kutz, Free University of Bozen-Bolzano, Faculty of Computer Science, Italy
   • Diego Calvanese, Free University of Bozen-Bolzano, Faculty of Computer Science, Italy
     and Umeå University, Department of Computing Science, Sweden


Program Committee
   • Alberto J. Bugarín Diz, Universidad de Santiago de Compostela, Centro Singular de
     Investigación en Tecnoloxías Intelixentes
   • Andreas Holzinger, Medical University Graz, Institute for Medical Informatics / Statistics
   • Daniele Porello, Dipartimento di Antichità, Filosofia, e Storia, DAFIST, Università di
     Genova, Italy
   • Enric Plaza, Institut d’Investigació en Intel·ligència Artificial (IIIA), Spanish Council for
     Scientific Research (CSIC)
   • Francesca Naretto, Scuola Normale Superiore, Pisa, Italy
   • Franz Baader, Technische Universität Dresden, Fakultät für Informatik, Institut für Theo-
     retische Informatik
   • Ivan Donadello, Free University of Bozen-Bolzano, Faculty of Computer Science
   • José María Alonso Moral, Universidad de Santiago de Compostela, Centro Singular de
     Investigación en Tecnoloxías Intelixentes
   • Loris Bozzato, Fondazione Bruno Kessler, Data and Knowledge Management Research
     Unit (DKM)
   • Marco Schorlemmer, Institut d’Investigació en Intel·ligència Artificial (IIIA), Spanish
     Council for Scientific Research (CSIC)
   • Michael Spranger, SONY AI Lab
   • Nicolas Troquard, Free University of Bozen-Bolzano, Faculty of Computer Science
   • Pietro Galliani, Free University of Bozen-Bolzano, Faculty of Computer Science
   • Rafael Peñaloza, Università degli Studi di Milano-Bicocca, Information and Knowledge
     Representation, Retrieval, and Reasoning (IKR3)

</pre>