Preface This volume contains the Late Breaking Papers of ILP 2017: the 27th In- ternational Conference on Inductive Logic Programming (ILP 2017), held in Orléans, France from Monday 4th to Wednesday 6th of September 2017. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data. The ILP conference series, started in 1991, is the premier international forum for learning from structured or semi-structured relational data. Originally focusing on the induction of logic programs, over the years it has expanded its research horizon significantly and welcomes contribu- tions to all aspects of learning in logic, including exploring intersections with probabilistic approaches. Three kinds of papers were submitted, and the reviewing process was quite complicated: 1. Regular papers describing original mature work representing a self-contai- ned theoretical contribution and/or supported by appropriate experimen- tal evaluation. Seventeen regular papers were submitted. These papers were reviewed by at least three members of the program committee. Seven were published in LNAI 10759 [1]. One is included in these proceedings. 2. Late-breaking papers describing original work in progress, brief accounts of original ideas without conclusive experimental evaluation, and other relevant work of potentially high scientific interest but not yet qualify- ing for the regular paper category. Fourteen late-breaking papers were accepted/rejected by the PC chairs, on the grounds of relevance, to be presented at the conference. Each late-breaking paper was reviewed by at least three members of the program committee taking also into account the oral presentation. This has allowed to nominate candidates for the most promising student late-breaking paper. Ten out of fourteen late- breaking papers were invited to submit an extended version, which was a second time evaluated by three reviewers. Five of them have been selected to be included in the LNAI proceedings [1]. Eight papers are included in these proceedings. Two of them are long versions. 3. Recently published papers. Five papers relevant to the conference topics and recently published or accepted for publication in a first-class confer- 1 ence were presented at the conference. These papers are not included in these proceedings. We had the pleasure to welcome four invited speakers at ILP 2017: - Alan Bundy, Professor at the University of Edinburgh: Can Computers Change their Minds? - Marc Boullé, Senior Researcher at Orange Labs: Automatic Feature Con- struction for Supervised Classification from Large Scale Multi-Relational Data. - Jennifer Neville, Associate Professor at Purdue University: Learning from single networks—the impact of network structure on relational learning and collective inference. - Mathias Niepert, Senior researcher at NEC Labs Europe in Heidelberg: Learning Knowledge Base Representations with Relational, Latent, and Numerical Features. Three prizes have been awarded and the articles are published in [1]. - Best paper (supported by Springer): Gustav Šourek, Martin Svatoš, Filip Železný, Steven Schockaert and Ondřej Kuželka. Stacked Structure Learn- ing for Lifted Relational Neural Networks. - Best student paper (supported by Machine Learning Journal): Sebasti- jan Dumančić. Demystifying Relational Latent Representations (co-author Hendrick Blockeel) - Most promising ”late-breaking” student paper (supported by Machine Learning Journal): Laura Antanas. Relational affordance learning for task-dependent robot grasping (co-authors Anton Dries, Plinio Moreno, Luc de Raedt) We would like to really thank all the persons who have contributed to the success of ILP 2017: the members of the organization committee, the members of the program committee, the additional reviewers that have been solicited and the sponsors. March 2018 Nicolas Lachiche and Christel Vrain Reference [1] Nicolas Lachiche, Christel Vrain (Editors). Inductive Logic Programming - 27th International Conference, ILP 2017, Orléans, France, September 4-6, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10759, Springer 2018, ISBN 978-3-319-78089-4 2 Organization Committee - Christel Vrain - Chair, University of Orléans, France - Guillaume Cleuziou, University of Orléans, France - Thi-Bich-Hanh Dao, University of Orléans, France - Matthieu Exbrayat, University of Orléans, France - Frédéric Moal, University of Orléans, France - Marcilio Pereira de Souto, University of Orléans, France - Isabelle Renard, University of Orléans, France Program Chairs - Nicolas Lachiche, University of Strasbourg, France - Christel Vrain, University of Orléans, France Program Committee - Dalal Alrajeh, Imperial College London,UK - Alexander Artikis, University of Piraeus, Greece - Hendrik Blockeel, KU Leuven, Belgium - Ivan Bratko, University of Ljubljana, Slovenia - Agnès Braud, University of Strasbourg, France - Krysia Broda, Imperial College London,UK - Rui Camacho, LIACC/FEUP University of Porto, Portugal - James Cussens, University of York,UK - Thi-Bich-Hanh Dao, University of Orléans, France - Saso Dzeroski, Jozef Stefan Institute, Slovenia - Floriana Esposito, Università degli Studi di Bari, Italy - Matthieu Exbrayat, University of Orléans, France - Nicola Fanizzi, Università degli Studi di Bari, Italy - Stefano Ferilli, Università degli Studi di Bari, Italie - Nuno A. Fonseca, EMBL-EBI, Hinxton,UK - Paolo Frasconi, Università degli Studi di Firenze, Italy - Katsumi Inoue, National Institute of Informatics, Japan - Ross King, University of Manchester, UK - Nada Lavrač, Jozef Stefan Institute, Slovenia - Francesca Alessandra Lisi, Università degli Studi di Bari, Italy - Donato Malerba, Università degli Studi di Bari, Italy - Stephen Muggleton, Imperial College London,UK - Sriraam Natarajan, Indiana University, Bloomington, USA - Aline Paes, Universidade Federal Fluminense, Brazil - Bernhard Pfahringer, University of Waikato, New Zealand - Oliver Ray, University of Bristol,UK - Fabrizio Riguzzi, University of Ferrara, Italy - Céline Rouveirol, University of Paris 13, France - Alessandra Russo, Imperial College London,UK - Chiaki Sakama, Wakayama University, Japan - Takayoshi Shoudai, Kyushu International University, Japan - Henry Soldano, University of Paris 13, France - Ashwin Srinivasan, Birla Institute of Technology and Science, India 3 - Stefan Wrobel, Fraunhofer IAIS & University of Bonn, Germany - Gerson Zaverucha, Federal University of Rio de Janeiro, Brazil - Filip Zelezny, Czech Technical University, Czech Republic Additional reviewers - Giuseppe Cota, University of Ferrara, Italie - Nicola Di Mauro, Università degli Studi di Bari, Italie - Ana Luisa Duboc, Pedro II School, Brazil - Sebastijan Dumancic, KU Leuven, Belgium - Nikos Katzouris, NCSR ”Demokritos” Athens, Greece - Evangelos Michelioudakis, NCSR ”Demokritos” Athens, Greece - Andrea Pazienza, Università degli Studi di Bari, Italie Sponsors We gratefully thank all the organizations and institutions that have sup- ported this event: • University and research departments – University of Orléans – Laboratoire d’Informatique Fondamentale d’Orléans (LIFO) – ICVL Fédération de recherche Informatique Centre Val de Loire • Publishers and associations – Springer – Machine Learning Journal - Springer – Artificial Intelligence Journal - Elsevier – EGC Association Internationale Francophone d’Extraction et de Ges- tion des Connaissances – AFIA Association Française pour l’Intelligence Artificielle • French institutions – Région Centre - Val de Loire (French administrative region) – Département du Loiret (Loiret department) – Orléans métropole (Orléans city) 4