CALL FOR PAPERS
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. Each accepted paper will be given
either for long or short presentation. Authors of accepted papers for
long presentation will be assigned a standard time slot for
presentation, and will be invited to submit a final version to the
Springer LNAI post-conference proceedings without further reviews.
Authors of accepted papers for short presentation will be assigned a
reduced time slot for presentation, and can submit a revised version
to the Springer LNAI post-conference proceedings, which will be
reviewed again by PC members.
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.
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,
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:
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.
MLSS 2015 Kyoto - Machine Learning Summer School 2015 in Kyoto - will be held on August 24 - September 5, 2015, in Kyoto University.
* Long paper abstract: April 27, 2015
* Long paper submission: April 27, 2015 May 4, 2015
* Long Paper notification: June 1, 2015 (not changed)
* Short Paper submission:
June 26, 2015 June 28, 2015 (updated)
* Short Paper notification: July 1, 2015
The registration fees and options for ILP 2015 are shown below.
All participants are kindly asked to use the on-line system for registration. Payment method by credit card or bank transfer is required.
Remittance charge for bank transfer shall be borne by payer.
(Until July 9th)
|General||JPY 50,000||JPY 60,000|
|Student||JPY 30,000||JPY 40,000|
|Accompanying person||JPY 10,000||JPY 10,000|
Online registration expires Aug 17th 18:00 UTC+9.
Onsite registration will be accepted after above.
The payment will be allowed by cash there (credit card is not acceptable).
You will receive an email confirmation of your payment and registration within two weeks from the payment date.
CALL FOR PAPERS - MLJ SPECIAL ISSUE PAPERS
We are delighted to announce an open call for a Machine Learning Journal special issue on Inductive Logic Programming. Papers for the special issue are solicited in all areas of learning in logic, relational learning, and relational data mining, statistical relational learning, multi-relational data mining, relational reinforcement learning, graph mining, connections with other learning paradigms, among others. The papers can address topics including, but not limited to:
- Theories: logical foundations, learning scenarios, theories on abduction and discovery, predicate invention, data/model representation frameworks, computational and/or statistical properties, etc.
- Algorithms: logical/probabilistic/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, learning dynamics of systems, etc.
- Representations and languages: datalog, first-order logic, description logics and ontologies, higher-order logic, probabilistic logical representations, constraint programming, mapping between alternative representations.
- Systems: implementation issues, optimization, parallelism, efficiency and scalability, etc.
- Applications: mining and multi-relational learning from databases/documents/texts/web, sciences (bioinformatics, cheminformatics, medical informatics, social science, etc.), natural language processing and computational linguistics, engineering, robotics, games, semantic web, social networks, the arts, etc.
Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals.
All papers will be reviewed following standard reviewing procedures for the Machine Learning journal.
Papers must be prepared in accordance with the Journal guidelines:
Manuscripts must be submitted to:
An article is submitted to the ILP'15 special issue by choosing "ILP 2015" as the article type. Articles should be at most 20 pages long, and submissions exceeding this length will not be given priority during reviews and will be under review for a longer period or a regular issue.
Submission deadline: 8 January 2016 18 February 2016 (extended)
First review results: March/April 2016
Revised papers due: within 60 days of decision
Final selection: July 2016
The Special Issue Guest Editors:
Katsumi Inoue, NII
Hayato Ohwada, Tokyo University of Science
Akihiro Yamamoto, Kyoto University