Extended deadline: August 4, 2022
The Rule Challenge is one of the highlights of the RuleML+RR conference and creates friendly competition among innovative rule-oriented tools, prototypes and applications, aimed at research, industry, and government.
In the 2022 edition of the challenge we give the opportunity to not only present results on self-introduced challenges but also to describe open challenges to be addressed by the community. Particularly, we welcome two kinds of submissions:
Challenge proposals: Papers describing open challenges, interesting problems from academia or industry, and benchmarks which are of interest for the community and can be solved by rule-based approaches, including task description, datasets, and evaluation criteria.
Challenge solutions: Papers supplying benchmarking or comparison results for rule engines, rule-based machine learning techniques, illustrating rule- and model-driven engineering, reporting on case studies and industrial experiences, and realizing mobile deployment of rule-based reasoning.
The best challenge proposal will be awarded be put for competition on the RuleML Rule Challenge 2023. A prize will be awarded for the best Rule Challenge paper. The assessment criteria include originality, creativity together with feasibility.
Key themes of the Rule Challenge include, but are not limited to the following:
Rule-based machine learning tools and techniques
Rule-based approaches for intelligent systems
Rule-based Event Processing and Stream Reasoning
Business Rules Modelling
Rule standardization for research, industry and government
Graph-Relational Data and Knowledge systems
Higher-Order-Logic and Modal-Logic systems
Rule and Ontology combinations
Modular Rule systems
Distributed Rule systems / multi-agent systems
Ontology-Based Data Access (OBDA) systems
Answer Set Programming (ASP) systems
Constraint Logic Programming (CLP) systems
Blockchain Rule systems
Defeasible, Argumentation, and Legal systems
(Controlled) Natural language interfaces
Distributed rule bases and rule services
Rules and model-driven engineering
Reports on industrial experience about rule systems
Combining rules with knowledge extraction and information retrieval
Rules and social media
The challenge seeks high quality, original papers, potentially referencing online material, and ranging between 8-15 pages (in the CEUR-WS.org style template CEURART (1-column variant), available at http://ceur-ws.org/Vol-XXX/CEURART.zip and https://www.overleaf.com/read/gwhxnqcghhdt). Submitted papers must be original contributions written in English. Please submit your paper via:
https://easychair.org/conferences/?conf=declarativeai22
via the Rule Challenge 2022 track.
To ensure high quality, submissions will be carefully peer-reviewed by at least 3 PC members as well as external reviewers. Submissions should address the following, where possible:
Provide a clear task description, all the relevant datasets, and the evaluation criteria at least in one dimension such as performance, correctness, and completeness (for challenge descriptions).
Explain the objectives, outcomes, benefits as you are going beyond the state of the art in technology, the application domain, etc.
Demonstrate the results with a concrete example balancing conciseness and completeness.
Preferably (but not necessarily) embed the tool in a web-based or distributed environment or a mobile environment.
Present end-user interactions, providing an adequate and usable interface that favors a concrete usage of the application.
Mention the availability of the software and data, data interchange, and possible tool extensions.
Provide a web-link to the project site, online demonstration, or download site.
July 7 August 4: Paper submission deadline (extended!)
August 25: Notification of acceptance
September 26th-28th: Rule Challenge
For each of these deadlines, a cut-off point of 23:59 AOE applies.
Dörthe Arndt (Technische Universität Dresden, Germany)
Ahmet Soylu (OsloMet - Oslo Metropolitan University, Norway)
Jan Vanthienen (KU Leuven, Belgium)
Roman Bauer, University of Surrey
Antonis Bikakis, University College London
Andreas Billig, FhG Fokus
Gong Cheng, Nanjing University
Martin Giese, University of Oslo
Faruk Hasic, Katholieke Universiteit Leuven
Paul Krause, University of Surrey
Juliana Kuster Filipe Bowles, University of St Andrews
Shashishekar Ramakrishna, EY - AI Labs / Free University of Berlin
Stephan Mennicke, TU Dresden
Sotiris Moschoyiannis, University of Surrey
Baris Sertkaya, Frankfurt University of Applied Sciences
Alireza Tamaddoni-Nezhad, Imperial College
Dominik Tomaszuk, University of Bialystok
Ryan Urbanowicz, University of Pennsylvania
William Van Woensel, University of Dalhousie
Accepted papers will be published in a CEUR proceedings. See previous proceedings: