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