ILP 2019 (Plovdiv, 3-5 Sep 2019): Second call for papers

[Dimitar Kazakov]

ILP 2019 second call for papers (forward as you find appropriate):
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Event: The 29th International Conference on Inductive Logic Programming
Dates: 3-5 Sep 2019 (Main conference)
6 Sep 2019 (Tutorials)

URL: https://ilp2019.org, Twitter: https://twitter.com/ilp2019

Venue: Ramada Trimontium Hotel, Plovdiv, Bulgaria

Timeline:
Journal track submissions (closed)

Conference paper abstract registration: 30 May 2019
Conference paper submission deadline: 3 June 2019
Conference paper decisions due by: 3 July 2019

Late breaking abstracts and published papers deadline: 15 July 2019
Late breaking abstracts and published papers notification: 26 July 2019

Conference dates: 3–5 Sep 2019
Tutorials: 6 Sep 2019

Inductive Logic Programming (ILP) is a subfield of machine learning,
which relies on (subsets of) first-order logic for expressing
examples, background knowledge and hypotheses. Due to its strong
representation formalism, ILP provides an excellent means for
multi-relational learning and data mining.

The ILP conference series, started in 1991, is the premier
international forum for learning from structured or semi-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, including all non-propositional logic-based knowledge
representation frameworks, and research at the intersections with
graph and tree data mining, statistical learning and other
probabilistic approaches.

Submissions must describe relevant and novel results on the following
typical, but not exclusive, topics:

Learning in logics: logical-foundations of learning;
computational/statistical learning theory; specialisation and
generalisation; probabilistic logic-based learning; graph and tree
mining; algorithms and approaches for learning with (semi-)structured
data; (semi-)supervised and unsupervised relational learning;
relational reinforcement learning; predicate invention;
propositionalization approaches; multi-instance learning; learning in
the presence of uncertainty; meta-level learning. Knowledge
Representation: logic programming; Datalog; first-order logic;
description logics and ontologies; higher-order logic; Answer Set
Programming; probabilistic logic languages; constraint logic
programming; knowledge graphs. Applications of learning: art;
bioinformatics; systems biology; games; medical informatics; robotics;
natural language processing; web-mining; software engineering;
financial applications; modelling and adaptation of control systems;
socio-technical systems. Submissions on theoretical and applied work
bridging into areas such as cognitive technologies, neural networks
and deep relational learning, knowledge acquisition from big data and
the cloud are also encouraged.


The journal track (with accepted papers to be published in the Machine
Learning Journal Special Issue on ILP 2019) has now been closed.

We still solicit the following types of submission:

* Conference papers (see https://ocs.springer.com/ocs/home/ILP2019 for
how to submit) describing original work containing appropriate
experimental evaluation and/or representing a self-contained
theoretical contribution. Submissions to this category of papers must
not have been published or be under review for a journal or for
another conference with published proceedings. Submissions can be in
the form of long papers of up to 15 pages (including references) or
short papers of between 6 and 9 pages (incl. references). Papers
making a more focussed contribution should be submitted as short
papers, while the long paper format is expected to be reserved for
submissions reporting a substantial volume of work, e.g. detailed
proofs or extensive experimental studies. All submissions must show
rigour and novelty and/or impact. Reviewers will be asked to consider
whether the chosen page limit is appropriate, and authors may be
requested to revise the length of their paper before it is
published. Accepted paper submissions will be published as a volume of
Springer LNAI proceedings.

* Late breaking abstracts not exceeding 4 pages (incl. references) in
the Springer LNCS/LNAI format, and outlining 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 ready for publication. Late-breaking
abstracts will be accepted/rejected on the grounds of
relevance. Authors of these submissions will be assigned a reduced
time slot for presentation. The late breaking abstracts will be
published on the conference web site only.

* Papers relevant to the conference topics and recently published or
accepted for publication by highly rated conferences such as
ECML/PKDD, ICML, KDD, ICDM, AAAI, IJCAI or journals, such as MLJ, DMKD
or JMLR. These should be submitted in their original format and will
be accepted/rejected on the grounds of relevance and quality of the
original publication venue. Authors of such papers will be assigned a
reduced time slot for presentation and will not appear in the
conference proceedings, however a link to the original work will be
published on the conference web site.

For all types of submissions (including the journal track), at least
one of the authors of accepted papers must register for the
conference, and present the work.


Awards and Sponsors
The conference will give best paper awards in the following categories:

1. the Best Paper Award will be chosen among the long papers submitted
at the conference and the papers accepted in the journal track. The
prize fund of €1,000 is kindly sponsored by Springer International
Publishing;

2. Best Student Paper Awards, namely:

* Best Student Paper Award (long papers) (for submissions to the
journal track or long paper/conference track)

* Best Student Paper (short papers) (for submissions to the short
paper/conference track).

To qualify for either student paper award, the first author must be a
student at the time of submitting the paper. The option “Enlist for
the Student Paper Award” should be checked when submitting eligible
papers. Each award is worth $750. These awards are kindly provided by
the Machine Learning Journal.


Dimitar Kazakov
Chair, ILP 2019