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CALL FOR PAPERS
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ILP 2016: The 26th International Conference on Inductive Logic Programming
4th - 6th September, 2016
London, UK
http://ilp16.doc.ic.ac.uk
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The 26th International Conference on Inductive Logic Programming (ILP
2016) will be held in London, UK, September 4th - 6th, 2016. It will
be held at the "Warren House Conference Centre", situated next to
Richmond Park (UK Nature Reserve and the largest London Royal Park)
and well connected to the centre of London via tubes and trains.
The ILP conference series is the premier international forum for
learning from structured relational data. Originally focusing on the
induction of logic programs, over the years it has expanded its
research horizon significantly and welcomes contributions to all
aspects of learning in logic, multi-relational data mining,
statistical relational learning, graph and tree mining, learning in
other (non-propositional) logic-based knowledge representation
frameworks, exploring intersections to statistical learning and other
probabilistic approaches.
Typical, but not exclusive, topics of interest for submissions include:
- Theoretical aspects: logical-foundations of learning;
computational/statistical learning theory; specialisation and
generalisation; probabilistic logic-based learning; graph and tree
mining.
- Representation and languages for learning: logic programming;
Datalog; first-order logic; description logic and ontologies;
higher-order logic; Answer Set Programming; probabilistic logic
languages; constraint logic programming; knowledge graphs.
- Algorithms and systems: learning with (semi-)structured data;
(semi-)supervised and unsupervised relational learning; relational
reinforcement learning; predicate invention; propositionalisation
approaches; multi-instance learning; learning in the presence of
uncertainty; meta-level learning.
- Applications of learning in: art; bioinformatics; systems biology;
games; medical informatics; robotics; natural language processing;
web-mining; software engineering; modelling and adaptation of control
systems; socio-technical systems.
In addition to the above topics, ILP 2016 is also encouraging
contributions in the areas of cognitive technologies, knowledge
acquisition from big data, the cloud and crowd sourced data, deep
relational learning, as well as contributions on the application of
any of these solutions to real world problems.
The conference will host keynote talks from both industry and academia
and will run the first International ILP Competition.
We solicit three types of submissions:
1) Long papers describing original mature work containing appropriate
experimental evaluation and/or representing a self-contained
theoretical contribution. Accepted long paper submissions will be
assigned a standard time slot for presentation and will appear in the
Springer LNAI post-conference proceedings. If a long paper submission
is not accepted as a long paper, it may be accepted as a "short paper"
(see next paragraph), in which case it will be assigned a reduced time
slot for presentation, and the authors may be given the opportunity to
submit a revised version that will be reviewed after the conference
for possible inclusion in the Springer LNAI post-conference
proceedings.
2) Short papers describing original work in progress, brief accounts
of original ideas without conclusive evaluation, and other relevant
work of potentially high scientific interest but not yet qualifying
for the long paper category. They will be accepted/rejected on the
grounds of their relevance. Accepted short papers will be assigned a
reduced time slot for presentation. Authors of selected papers will be
invited to submit a long version that will be reviewed after the
conference for possible inclusion in the Springer LNAI post-conference
proceedings.
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. These will be accepted/rejected 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.
IMPORTANT DATES:
* Abstract registration: 7 May 2016
* Long paper submission: 13 May 2016
* Long Paper notification: 26 June 2016
* Short Paper submission: 24 July 2016
* Short Paper notification: 28 July 2016
INVITED SPEAKERS:
David Jensen, University of Massachusetts Amherst
Vijay Saraswat, IBM TJ Watson Research Lab
Frank Wood, University of Oxford
SUBMISSION:
Submissions of long papers and short papers must not have been
published or be under review for a journal or for another conference
with published proceedings. Submissions must be in Springer LNAI
format, according to the Springer LNCS author instructions
(http://www.springer.com/comp/lncs/Authors.html).
Long papers must not exceed 12 pages including references; short
papers must not exceed 6 pages not including references. 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 2016 Easychair site:
https://easychair.org/conferences/?conf=ilp2016
The post-proceedings from the Conference will be published by LNAI Springer.
A special issue of the Machine Learning journal is planned following
the conference, which is open for everyone. This special issue will
welcome conference submissions from all three categories, which should
be significantly revised and extended, to meet the MLJ criteria, and
will be re-reviewed by PC members.
ASSOCIATED EVENT:
3rd International Workshop on Probabilistic Logic Programming
CONFERENCE AND PROGRAM CO-CHAIRS:
Alessandra Russo, Imperial College London UK
James Cussens, University of York, UK
ILP COMPETITION CHAIR:
Mark Law, Imperial College London, UK
PUBLICITY CHAIR:
Krysia Broda, Imperial College London, UK
FINANCIAL CHAIR:
Dalal Alrajeh, Imperial College London, UK
PROGRAM COMMITTEE:
Dalal Alrajeh
Alexander Artikis
Krysia Broda
Rui Camacho
Luc De Raedt
Sašo Džeroski
Floriana Esposito
Nicola Fanizzi
Stefano Ferilli
Nuno Fonseca
Katsumi Inoue
Kristian Kersting
Ross King
Nicolas Lachiche
Nada Lavrač
Francesca Lisi
Donato Malerba
Stephen Muggleton
Aline Paes
Jan Ramon
Oliver Ray
Fabrizio Riguzzi
Chiaki Sakama
Vítor Santos Costa
Takayoshi Shoudai
Alireza Tamaddoni-Nezhad
Christel Vrain
Stefan Wrobel
Akihiro Yamamoto
Gerson Zaverucha
Filip Železný
--
James Cussens
Dept of Computer Science &
York Centre for Complex Systems Analysis
Room 326, The Hub, Deramore Lane Tel +44 (0)1904 325371
University of York Fax +44 (0)1904
500159
York YO10 5GE, UK http://www.cs.york.ac.uk/~jc
http://www.york.ac.uk/docs/disclaimer/email.htm
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