CFP: ILP 2015 Kyoto - 25th International Conference on Inductive Logic Programming

[Katsumi Inoue]

Title: 1st Call for Papers: ILP 2015 Kyoto 

ILP 2015 : The 25th International Conference on Inductive Logic Programming 

           Aug 20, 2015 - Aug 22, 2015  

           Kyoto, Japan 

           http://ilp2015.jp/

1ST CALL FOR PAPERS

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The 25th International Conference on Inductive Logic Programming (ILP 2015) will be held in Kyoto, Japan, August 20th - 22nd.  The ILP conference is the premier international forum on logic-based and relational learning.  Originally focused on induction of logic programs, it has broadened its scope and attracted a lot of attention and interest in recent years.  

Authors are invited to submit papers presenting original results on all aspects of learning in logic, multi-relational learning and data mining, statistical relational learning, graph and tree mining, relational reinforcement learning, connections with other learning paradigms, and learning in other logic-based knowledge representation frameworks.  

Typical, but not exclusive, topics of interest for submissions include: 

- Theoretical aspects: logical foundations, learning scenarios, theories on abduction and discovery, data/model representation frameworks, computational and/or statistical properties, etc.  

- Algorithms: logical, probabilistic and statistical approaches, distance and kernel-based methods, learning with (semi)structured data, supervised/unsupervised/semi-supervised relational learning, relational reinforcement learning, inductive databases, abductive learning, link discovery, new propositionalization approaches, multi-instance learning, predicate invention, learning dynamics of systems, etc.  

- Representations and languages for logic-based learning: including datalog, first-order logic, description logics and ontologies, higher-order logic, probabilistic logical representations, mapping between alternative representations.  

- Systems: systems that implement inductive logic programming algorithms with special emphasis on issues like optimization, parallelism, efficiency and scalability. 

- Applications including, but not restricted to multi-relational learning from structured (e.g., labeled graphs, tree patterns) and semi-structured data (e.g., XML documents), learning from relational data in areas of science (bioinformatics, cheminformatics, medical informatics, social science, etc.), natural language processing (computational linguistics, text/web mining etc.), engineering, robotics, games, semantic web, social networks, the arts, etc. 

We solicit three kinds of papers: 

1) Long papers describing original mature work containing appropriate experimental evaluation and/or representing a self-contained theoretical contribution. Long papers will be reviewed by at least 3 members of the program committee. Authors will be notified prior to the conference on acceptance/rejection for the Springer LNAI post-conference proceedings. Authors of accepted papers will be assigned a standard time slot for presentation. 

2) Short 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 qualifying for the long paper category. The PC chairs will accept/reject short papers on the grounds of relevance. Authors of accepted short papers will be assigned a reduced time slot for presentation. Each short paper will be reviewed by at least 3 members of the program committee on the basis of both the manuscript and its presentation, and the authors of selected papers will be invited to submit a long version for the Springer LNAI post-conference proceedings; In this case, the long paper will be reviewed again by the assigned PC members of the short paper and be finally accepted if satisfactorily addressing the reviewer's requirements. 

3) Papers relevant to the conference topics and recently published or accepted for publication by a first-class conference such as ECML/ PKDD, ICML, KDD, ICDM, AAAI, IJCAI, etc. or journal such as MLJ, DMKD, JMLR etc. The PC chairs will accept/reject such papers on the grounds of relevance and quality of the original publication venue. Authors of accepted papers will be assigned a reduced time slot for presentation. These papers will not appear in the Springer LNAI post-conference proceedings. 

SUBMISSION: 

Submissions in category 1 or 2 must not have been published or be under review for a journal or for another conference with published proceedings. They should be submitted in the Springer LNCS format. Long (short) papers must not exceed 12 (6) pages. The indicated number of pages includes the title page, references and figures. Submissions must be formatted according to the Springer LNCS author instructions, 

 http://www.springer.com/comp/lncs/Authors.html 

Papers in category 3 should be submitted in their original format and the authors should indicate the original publication venue. All Paper submissions will be electronic through the ILP 2015 easychair site: 

 https://www.easychair.org/conferences/?conf=ilp2015 

A special issue of the Machine Learning journal is planned following the conference, which is open for everyone. This special issue welcomes conference submissions from all the three categories above, which should be significantly revised and extended to meet the MLJ criteria, for re-reviewing by the PC. 

INVITED SPEAKERS: 

Stephen Muggleton, Imperial College London
Taisuke Sato, Tokyo Institute of Technology
Luc De Raedt, Katholieke Universiteit Leuven
Stefanie Jegelka, UC Berkeley

ASSOCIATED EVENTS: 

MLSS 2015 Kyoto - Machine Learning Summer School 2015 in Kyoto - will be held on August 24 - September 5, 2015, in Kyoto University. 

IMPORTANT DATES: 

 * Abstract registration: April 19, 2015  
 * Long paper submission: April 24, 2015 
 * Long Paper notification: June 1, 2015 
 * Short Paper submission: June 26, 2015 
 * Short Paper notification: July 1, 2015 

CONFERENCE AND PROGRAM CO-CHAIRS: 

Katsumi Inoue, NII 
Hayato Ohwada, Tokyo University of Science 
Akihiro Yamamoto, Kyoto University 

PUBLICITY CHAIR: 

Kotaro Okazaki, SONAR  

PROGRAM COMMITTEE: 

Erick Alphonse, LIPN - UMR CNRS 7030
Annalisa Appice, University Aldo Moro of Bari
Elena Bellodi, University of Ferrara
Hendrik Blockeel, K.U. Leuven
Rui Camacho, LIACC/FEUP University of Porto
James Cussens, University of York
Jesse Davis, KU Leuven
Luc De Raedt, Katholieke Universiteit Leuven
Inês Dutra, Universidade do Porto
Saso Dzeroski, Jozef Stefan Institute
Nicola Fanizzi, Università di Bari
Stefano Ferilli, Università di Bari
Peter Flach, University of Bristol
Nuno A. Fonseca, European Bioinformatics Institute
Tamas Horvath, University of Bonn and Fraunhofer IAIS
Katsumi Inoue, NII (co-chair)
Nobuhiro Inuzuka, Nagoya Institute of Technology
Andreas Karwath, University of Mainz
Kristian Kersting, TU Dortmund University
Ross King, University of Manchester
Ekaterina Komendantskaya, University of Dundee
Nada Lavrač, Jozef Stefan Institute
Francesca Alessandra Lisi, Università degli Studi di Bari "Aldo Moro"
Donato Malerba, Università degli Studi di Bari "Aldo Moro"
Stephen Muggleton, Imperial College London
Sriraam Natarajan, Indiana University
Hayato Ohwada, Tokyo University of Science (co-chair)
Aline Paes, Institute of Computing, Universidade Federal Fluminense
Bernhard Pfahringer, University of Waikato
Ganesh Ramakrishnan, IIT Bombay
Jan Ramon, K.U.Leuven
Oliver Ray, University of Bristol
Fabrizio Riguzzi, University of Ferrara
Celine Rouveirol, Université Paris 13
Alessandra Russo, Imperial College London
Chiaki Sakama, Wakayama University
Vítor Santos Costa, Universidade do Porto
Takayoshi Shoudai, Kyushu International University
Ashwin Srinivasan, Indraprastha Institute of Information Technology, New Delhi
Alireza Tamaddoni-Nezhad, Imperial College, London
Tomoyuki Uchida, Hiroshima City University
Guy Van den Broeck, KU Leuven
Jan Van Haaren, KU Leuven
Christel Vrain, university of Orléans
Stefan Wrobel, Fraunhofer IAIS & University of Bonn
Akihiro Yamamoto, Kyoto University (co-chair)
Gerson Zaverucha, PESC/COPPE - UFRJ
Filip Zelezny, Czech Technical University