Inductive Logic Programming 29th International Conference, ILP 2
This book constitutes the refereed conference proceedings of the 29th International Conference on Inductive Logic Programming, ILP 2019, held in Plovdiv, Bulgaria, in September 2019. The 11 papers presented were carefully reviewed and selected from numero
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Dimitar Kazakov Can Erten (Eds.)
Inductive Logic Programming 29th International Conference, ILP 2019 Plovdiv, Bulgaria, September 3–5, 2019 Proceedings
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Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science
Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
Founding Editor Jörg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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More information about this series at http://www.springer.com/series/1244
Dimitar Kazakov Can Erten (Eds.) •
Inductive Logic Programming 29th International Conference, ILP 2019 Plovdiv, Bulgaria, September 3–5, 2019 Proceedings
123
Editors Dimitar Kazakov Department of Computer Science University of York Heslington, UK
Can Erten Department of Computer Science University of York Heslington, UK
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-030-49209-0 ISBN 978-3-030-49210-6 (eBook) https://doi.org/10.1007/978-3-030-49210-6 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
These proceedings contain all accepted submissions to the conference paper track of the 29th International Conference on Inductive Logic Programming (ILP 2019).1 ILP is a type of symbolic machine learning in which logic of first or higher order is used to represent both the data and the models (theories) learnt. The main conference was held in Plovdiv, Bulgaria, over three days, 3–5 September 2019, and was followed by two tutorials on 6 September 2019. The ILP 2019 call f
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