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, probabilistic
logic-based learning, computational and/or statistical learning
theories, theories on abduction, data/model representation, …
- Representations and languages for logic-based learning: subsets of
first-order logic (datalog, description logics for instance),
higher-order logic, probabilistic logical representations, links between
alternative representations.
- Algorithms and systems:
- supervised/unsupervised/semi-supervised relational learning,
relational reinforcement learning, abductive learning, inductive
databases
- learning from structured data (e.g., labeled graphs, tree patterns) and semi-structured data (e.g., XML documents)
- logical, probabilistic and statistical approaches, distance
and kernel-based methods, propositionalization, predicate invention
- systems that implement inductive logic programming algorithms
with special emphasis on issues like efficiency and scalability.
- Applications of ILP:
- bioinformatics, chemoinformatics, medical informatics, robotics, engineering
- natural language processing: computational linguistics, text/web mining
- social science, art and humanities, games, social networks
Three kinds of papers can be submitted:
1) Regular papers describing original mature work representing a
self-contained theoretical contribution and/or containing appropriate
experimental evaluation. These papers will be reviewed by at least 3
members of the program committee. Each accepted paper will be given 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.
If not accepted as a long paper, it may be accepted as a
work-in-progress paper and assigned a reduced time slot for
presentation. The authors have the opportunity to submit a revised
version, which will be reviewed after the conference for possible
inclusion in the Springer LNAI post-conference proceedings.
Regular papers must not exceed 12 pages (including references).
2) Late-breaking 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 regular paper category. Late-breaking papers will
be accepted/rejected by the PC chairs on the grounds of relevance.
Authors of accepted late-breaking papers will be assigned a reduced time
slot for presentation.
Each late-breaking paper will then be reviewed by at least 3 members
of the program committee taking also into account the oral
presentation. Based on these reviews, the authors may be given the
opportunity 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.
Late-breaking papers must not exceed 6 pages (including references).
3) Recently published papers: 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.
Following the conference, a special issue of Machine Learning
Journal is planned. It will be opened to everyone. This special issue
welcomes conference submissions from all the three categories above,
which should be significantly revised and extended to meet the journal
criteria. They will be reviewed by the Program Committee.
