Rule Induction and Learning

This RuleML 2016 special track on Rule Induction and Learning Track will bring together practitioners, interested in inductive rule learning and other learning aspects of learning rules and reasoning.

Topics (not limited to):

*  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


Papers must be original contributions written in English and must be submitted at (please enter the track name as the first line in the keywords section) 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. Selected papers will be published in book form in the Springer Lecture Notes in Computer Science (LNCS) series. The RuleML2016 special tracks will be published in the same book. Short papers may contain 1 extra page maximum for which there is a charge of US$200, while for long papers you are allowed 2 extra pages maximum for EACH of which there is a charge of US$200. A selection of the best papers from all tracks will be invited to be revised and extended for the post-conference publication in a Special Issue of TPLP (Theory and Practice of Logic Programming).

RuleML main track and special tracks dates:

New Extended Deadline April 4, 2016
Paper Submission: March 18, 2016
Author Notification May 4, 2016
Camera Ready May 18, 2016
Conference: 6-9 July, 2016