Following the 14th International Conference on
Inductive Logic Programming held in Porto, Portugal, the Machine Learning
Journal invites authors to submit papers for the Special Issue on Inductive
Logic Programming. In keeping with the original topic of Inductive Logic
Programming, while reflecting also the broadening scope of the field, authors
are invited to submit papers presenting original results in all aspects of
learning logic programs, learning in first-order logic and in other logic-based
knowledge representation frameworks. Papers on logical aspects of
multi-relational learning and data mining are also welcome. Typical, but not
exclusive, topics of interest for submissions include
theoretical aspects (logical foundations, computational/statistical
learning theory, specialisation and generalisation operators, etc.) of
learning in logic (logic programs, constraint logic programs, Datalog,
first-order logic, description logics, higher-order logic, etc.),
algorithmic aspects of learning in logic including the design of
algorithms along with theoretical and/or empirical analysis, probabilistic and
statistical approaches, distance and kernel-based methods, relational
reinforcement learning, etc.,
logical foundations of learning and data mining from multi-relational
databases, scalability issues, inductive databases, link discovery,
learning and data mining from structured (e.g., labelled graphs, tree
patterns) and semi-structured data (e.g., XML documents), multi-instance
learning,
efficient implementations and practical applications of multi-relational
learning and data mining in bioinformatics, computational chemistry,
computational linguistics, relational text and web mining, medical
informatics, spatial data mining, etc.
Papers emphasising new
topics related to learning in logic, as well as to logical foundations of
multi-relational learning and data mining are especially encouraged. All
contributors to ILP 2004 are invited to submit a full paper, but the special
issue is open to everyone. Each submission will be reviewed according to the
standards of the Machine Learning Journal.
IMPORTANT DATES
Titles and short abstracts due:
March 15th, 2005
Papers due:
April 1st, 2005
Author notification:
July 15th, 2005
Final versions of accepted papers due:
September 30th, 2005
Publication:
Early 2006
GUEST EDITORS
Ashwin Srinivasan (IBM India Research Laboratory,
New Delhi, India) Rui Camacho (University of Porto, Portugal) Ross King
(University of Wales, Aberystwyth Wales, United Kingdom)
PAPERS PREVIOUSLY PUBLISHED IN CONFERENCES/WORKSHOPS:
Authors of
papers that appeared previously in refereed conferences and workshops (e.g. in
ILP 2004) are encouraged to submit extended versions of their papers. Such
extended papers must be significantly different from the conference version, as
well as accessible to the broad readership of the journal, not just to
researchers in ILP. More generally, authors submitting extended versions of
previously published conference/workshop papers are strongly encouraged to
expand on the material that was included in the original paper, e.g., to provide
more details, to give greater, more in-depth, discussion of the results and
related work, to expand upon the experimental results, and to give a more
thorough and scholarly treatment of the material (than was possible in a
conference paper). Submissions must not have appeared in, nor be under
consideration by, other journals. Authors of papers whose previous versions
appeared in refereed conferences and workshops are requested to provide the
previously published version of their papers, as well as to include in their
submission a brief letter stating the differences between the prior published
version and this MLJ Special Issue submission.
with the
subject "MLJ special issue on ILP", Include in the body of the e-mail the title
of the paper you intend to submit, the authors and the abstract.
2)
Submission of the full paper (until April 1st, 2005): In the instructions
to authors that you will find in the above URL do not forget to read the
NOTE on special issues of the journal (you are required to say in the submitting
e-mail that the paper is for a special issue on ILP). In addition to submitting
the paper following the instructions given in the above URL, please submit it
also to ashwin.srinivasan@in.ibm.com and
rcamacho@fe.up.pt All enquiries
regarding this special issue should be directed to Ashwin Srinivasan (ashwin.srinivasan@in.ibm.com)
and Rui Camacho (rcamacho@fe.up.pt)