** apologies for cross-posting **

==== Call for Papers: Rule learning ====
A special track of RuleML 2015, August 2015 Berlin

The 9th International Web Rule Symposium (RuleML) will take place from
August 3-5, 2015 at the Freie Universität Berlin, Berlin, Germany
(http://2015.ruleml.org). RuleML is the leading conference to build
bridges between academia and industry in the field of rules and its
applications, especially as part of the semantic technology stack.

This year, the symposium will feature a track on rule learning. Papers
submitted to the track could address (among others) the following
topics:

* Inductive rule learning
* Classification rules
* Association rules
* Learning rules for the semantic web
* Preference rules
* Rule-based recommender systems
* Relational learning
* Learning business rules
* Descriptive rule learning
* Predictive rule learning

Participants are especially encouraged to evaluate their algorithms on
the recommender dataset, which is made available within the collocated
Challenge “Rule-based Recommender Systems for the Web of Data” at
http://www.csw.inf.fu-berlin.de/ruleml2015/recsysrules-2015.html.

== Organisers ==

Johannes Fürnkranz (TU Darmstadt, Germany)
Tomáš Kliegr (University of Economics, Prague, Czech Republic)

== Important dates ==

* Abstract submission: February 25, 2015
* Paper Submission: March 4, 2015
* Author Notification: May 4, 2015
* Camera Ready: May 18, 2015
* Conference: 3-5 August, 2015

== Submission guidelines ==

Papers must be original contributions written in English and must be
submitted at EasyChair for the special track as:

Full Papers (15 pages in the proceedings)
Short Papers (8 pages in the proceedings)

Please upload all submissions in LNCS format. To ensure high quality,
submitted papers will be carefully peer-reviewed by 3 PC members based
on originality, significance, technical soundness, and clarity of
exposition. Accepted papers will be published in book form in the
Springer Lecture Notes in Computer Science (LNCS) series within the
RuleML main track proceedings.

== Use of the Recommender Challenge dataset, Challenge submission ==
Authors are encouraged to evaluate their algorithms using the
recommender dataset made available within the “Rule-based Recommender
Systems for the Web of Data” Challenge
(http://www.csw.inf.fu-berlin.de/ruleml2015/recsysrules-2015.html).
Moreover, it is also possible to participate in the challenge, which
is a predefined task associated with this dataset. The deadline for
challenge submission is after the notification of the Rule learning
track. If a paper using the dataset is accepted for the Rule learning
track, it can still participate in the challenge. However, to publish
the results in the challenge CEUR-WS proceedings, the authors need to
prepare a separate submission as the same article cannot appear twice
in the Challenge and Rule learning track proceedings.