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***We apologize if you receive multiple copies of this call***<br>
<br>
Dear colleagues, <br>
<br>
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.<br>
For more details, see: <a class="moz-txt-link-freetext"
href="http://dtai.cs.kuleuven.be/events/ilp2014/">http://dtai.cs.kuleuven.be/events/ilp2014/</a><br>
<br>
<a href="http://dtai.cs.kuleuven.be/events/ilp2014/cfp.php#">Scope</a><br>
<br>
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:<br>
<ul>
<li>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, uncertainty reasoning.</li>
<li>Applications: the arts, bioinformatics, chemoinformatics,
engineering, games, graphs/networks, medical informatics,
robotics, text/web mining, etc.</li>
<li>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.</li>
<li>Systems: systems that implement inductive logic programming
algorithms with special emphasis on issues like optimization,
parallelism, efficiency and scalability.</li>
<li>Theory: learning scenarios, data/model representation
frameworks, computational and/or statistical learning theory,
etc.</li>
</ul>
<br>
<a href="http://dtai.cs.kuleuven.be/events/ilp2014/cfp.php#">Submission
Types</a><br>
<br>
We solicit both long and short papers:<br>
<br>
<u>Long papers: </u>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.<br>
<br>
<br>
<u>Short papers:</u> These can fall in one of two categories. <br>
<br>
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. <br>
<br>
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 proceedings.<br>
<br>
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. <br>
<br>
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. <br>
<br>
<a href="http://dtai.cs.kuleuven.be/events/ilp2014/cfp.php#">Relevant
Dates</a><br>
<br>
Long Paper Deadline: May 10th, 2014 <br>
<br>
Long Paper Acceptance Notification: June 20th, 2014 <br>
<br>
Short Paper Deadline: July 1st, 2014 <br>
<br>
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