[DL] ILP 2014 Call for Papers
nicola.fanizzi at uniba.it
Tue Mar 25 16:21:19 CET 2014
***We apologize if you receive multiple copies of this call***
We invite submissions to 24th International Conference on Inductive
Logic Programming, which will be held in Nancy, France, on September
14-16th, 2014. Additionally, ILP 2014 will be co-located with ECML/PKDD.
For more details, see: http://dtai.cs.kuleuven.be/events/ilp2014/
Since its inception in 1991, the Internationl Conference on Inductive
Logic Programming (ILP) conference series has been the premier forum for
publishing original work on learning from structured relational data.
Initially, its focus lay in the induction of logic programs. Over the
years the scope of the program broadened and ILP has remained a vibrant
area of research. Papers for this year's conference 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, among others. The
papers can address topics including, but not limited to:
* Algorithms: probabilistic and statistical approaches, distance and
kernel-based methods, learning with (semi)structured data,
supervised, unsupervised, and semi-supervised relational learning,
relational reinforcement learning, inductive databases, link
discovery, new propositionalization approaches, multi-instance
learning, predicate invention, logical and probabilistic inference,
* Applications: the arts, bioinformatics, chemoinformatics,
engineering, games, graphs/networks, medical informatics, robotics,
text/web mining, 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.
* Theory: learning scenarios, data/model representation frameworks,
computational and/or statistical learning theory, etc.
Submission Types <http://dtai.cs.kuleuven.be/events/ilp2014/cfp.php#>
We solicit both long and short papers:
_Long papers: _These should describe original mature work and should be
appropriately evaluated. The evaluation can consist of a rigorous
theoretical analysis, an empirical evaluation, or both. Long papers will
be reviewed by at least three members of the program committee. An
acceptance notification will be sent prior to the conference and
accepted papers will appear in the Springer LNAI post-conference
proceedings. Authors of accepted papers will have a standard time slot
to present their paper.
_Short papers:_ These can fall in one of two categories.
The first should describe work that is insufficiently mature to qualify
as a long paper. Typically, these papers describe work in progress where
the idea is insufficiently worked out or evaluated. The PC chairs will
accept/reject short papers on the grounds of relevance to the
conference. Authors of accepted short papers will be able to give a
short presentation during the conference. After the conference, each
short paper will be reviewed by at least three 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 re-reviewed by the same PC members.
The second is a summary of recently published work accepted for
publication in a first-class conference such as 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. These papers will be presented during the
conference but WILL NOT appear in the Springer LNAI post-conference
Long paper submissions and the first category of short must not have
been published in journal or for another conference with published
proceedings. No submitted papers may be under review for a journal or
for another conference with published proceedings.They should be
submitted in the Springer LNCS format. Long papers must not exceed 12
pages and short papers must not exceed six pages.
A special issue of the Machine Learning journal is planned following the
conference, which welcomes conference submissions from all the
categories above, significantly revised and extended to meet the MLJ
criteria, as well as new, high-quality submissions. These will be
(re-)reviewed by the (guest) editorial board for the issue.
Relevant Dates <http://dtai.cs.kuleuven.be/events/ilp2014/cfp.php#>
Long Paper Deadline: May 10th, 2014
Long Paper Acceptance Notification: June 20th, 2014
Short Paper Deadline: July 1st, 2014
Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm for more
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