RuleML2016: Industry Track Call for Papers

March 31, 2016 at 4:51 PM
Submit to the Industry track: Business Cases and Technologies for Rules in Industry: State of Practice, Challenges, and Opportunities

With the increased importance of big data for improving operational performance in all sectors of industry, the role of rule technologies has become ever more manifest (and even critical). Indeed, if Data assets have been recognized as the "new oil", then Rule technologies should be introduced for the most important processing steps in generating value from data. For example, event-condition rules enable the detection of an anomaly state in the process execution by processing huge streams of sensor data. However, not only the creation and execution of such rules, but also their maintenance and refinement require a systematic approach, provided usually through rule management methodologies and systems. On the other hand the industry is still not completely aware of the importance of such approaches for an efficient utilization of rules in the era of big data. Therefore, there is a need for industry to share, exploit, and learn about the use of rules and rule technologies for solving real life business problems. The proposed industry track aims to be a forum for all sectors of industry (and the corresponding public sectors) to address such needs.

Incentives for industry participation in this track include:

  • Present your results / solutions for use of rule technologies in business settings
  • Learn about new trends in rule technologies, and how they can be used to address business problems
  • Exchange experiences about business cases and use of rules
  • Compete for a RuleML award for best business case for use of rules technologies

Why at RuleML?

The International Web Rule Symposium (RuleML) has been a leading international conference on research, applications, languages and standards for rule technologies. During the past 8 years it has built bridges between academia and industry in the field of rules and its applications, especially as part of the semantic technology stack.
See further details at

SubTracks and Topics (not limited to):

Position Papers
  • Needs for Research & Development
  • Proposals for Joint (Industry/Academia) Efforts
Progress Reports
  • Progress in Research & Development from Industry
  • Lessons Learned (Unsuccessful efforts that still provide insight)
Research Contributions
  • Original Contributions in Rule-related fields

RuleML Industry track dates:

Paper Submission:June 1, 2016
Author NotificationJune 13, 2016
Camera ReadyJune 19, 2016
Conference:6-9 July, 2016

Industry Track Submissions

The track seeks two types of submissions in LNCS format:
  • Extended abstracts of up to 2 pages
  • Short papers of up to 8 pages

The papers can be submitted at: (please enter the track name, Industry, as the first line in the keywords section and one subtrack Position Paper, Proposal, Progress Report, Full Report).

Submissions must follow the following structure:

Position Papers or Proposals (Business Case, Technological Challenges, Rule-based Options)
Progress Reports (Business Case, Technological Challenges, Rule-based Approach, Status)
Full Reports (Business Case, Technological Challenges, Rule-based Solution, Results, Importance and Impact)

  • Business Case - explain the business case and the value proposition
  • Technological Challenges - explaining why the business case is difficult to be solved by using traditional technologies
  • Rule-based Options/Approach/Solution - technical details, esp. the usage of rules
  • Status/Results - the status/benefits of the approach/solution
  • Importance and impact - describe the importance of the solution for business/technology

The submissions will be peer-reviewed. Accepted industry papers will be published in the RuleML CEUR proceedings.

Besides presenting their business case papers, authors of industry track papers, among others, will be invited to participate in a panel related to the use of rules and rule technologies in business cases.