This book constitutes the thoroughly refereed post-conference proceedings of the 17th International Conference on Inductive Logic Programming, ILP 2007, held in Corvallis, OR, USA, in June 2007 in conjunction with ICML 2007, the International Conference on Machine Learning.
The 15 revised full papers and 11 revised short papers presented together with 2 invited lectures were carefully reviewed and selected from 38 initial submissions. The papers present original results on all aspects of learning in logic, as well as multi-relational learning and data mining, statistical relational learning, graph and tree mining, relational reinforcement learning, and learning in other non-propositional knowledge representation frameworks. Thus all current topics in inductive logic programming, ranging from theoretical and methodological issues to advanced applications in various areas are covered.
Lecture Notes in Artificial Intelligence Edited by J. G. Carbonell and J. Siekmann
Subseries of Lecture Notes in Computer Science
4894
Hendrik Blockeel Jan Ramon Jude Shavlik Prasad Tadepalli (Eds.)
Inductive Logic Programming 17th International Conference, ILP 2007 Corvallis, OR, USA, June 19-21, 2007 Revised Selected Papers
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Hendrik Blockeel Jan Ramon Katholieke Universiteit Leuven Department of Computer Science Celestijnenlaan 200A, 3001 Leuven, Belgium E-mail:{hendrik.blockeel, Jan.Ramon}@cs.kuleuven.be Jude Shavlik University of Wisconsin, Madison, WI 53706, USA E-mail:
[email protected] Prasad Tadepalli Oregon State University, Corvallis, OR 97331-3202, USA E-mail:
[email protected]
Library of Congress Control Number: 2008922294
CR Subject Classification (1998): I.2.3, I.2.6, I.2, D.1.6, F.4.1 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-540-78468-3 Springer Berlin Heidelberg New York 978-3-540-78468-5 Springer Berlin Heidelberg New York
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com © Springer-Verlag Berlin Heidelberg 2008 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 12236039 06/3180 543210
Preface
ILP 2007, the 17th Conference on Inductive Logic Programming, was held in Corvallis, Oregon, USA, June 19–21, and was collocated with the 24th International Conference on Machine Learning. The program consisted of 15 full and 14 short presentations, a poster session, keynote talks by Paolo Frasconi (Learning with Kernels and Logical Representations) and David Jensen (Beyond Prediction: Directions for Probabilistic and Relational Learning), and several joint sessions with ICML. Thirty-eight submissions were received this year, out of which fifteen were accepted for publication i