Rule Learning (RuleML conference track)

Event Details

Rule Learning (RuleML conference track)

Time: August 3, 2015 to August 5, 2015
Location: Berlin, Germany
Website or Map: http://www.csw.inf.fu-berlin.…
Event Type: conference
Organized By: Johannes Fürnkranz, Tomáš Kliegr
Latest Activity: Mar 9, 2015

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Event Description

Rule Learning track

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.


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. 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.

Program committee (to be completed)

Submitted papers will be reviewed by three PC members from the academia and the industry. Matin Atzmüller, University Kassel
Henrik Boström, Stockholm University
Jacob Feldman, Open Rules, Jacob Feldman
Martin Holeňa, Academy of Sciences of the Czech Republic
Frederik Janssen, TU Darmstadt
Jaroslav Kuchař, Czech Technical University in Prague
Evelina Lamma, Università degli Studi di Ferrara
Florian Lemmerich, Uni Würzburg
Francesca Lisi, University Bari
Christian De Sainte Marie, IBM
Heiko Paulheim, University of Mannheim
Jan Rauch, University of Economics, Prague
Fabrizio Riguzzi, Università degli Studi di Ferrara
Davide Sottara, Arizona State University
Bernard Zenko, IJS Ljubljana

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Comment by Tomas Kliegr on March 9, 2015 at 1:46am

The submission deadline has been extended to March 18.

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