RuleML+RR -- deadline extension!

Call for Papers for RuleML+RR conference — deadline extension

RuleML+RR 2022
26th-28th September in Berlin & on-line, Germany
(part of DeclarativeAI and co-located with DecisionCAMP and the 18th 
Reasoning Web Summer School)

The RuleML+RR 2022 conference is part of the event “Declarative AI: 
Rules, Reasoning, Decisions, and Explanations” and is co-located with 
DecisionCAMP 2022 and the Reasoning Web Summer School. It features the 
RuleChallenge and a Doctoral Consortium as associated events.
The 6th International Joint Conference on Rules and Reasoning (RuleML+RR 
2022) is the leading international joint conference in the field of 
rule-based reasoning. One of the main goals of RuleML+RR is to build 
bridges between academia and industry in the area of semantic reasoning. 
See https://2022.declarativeai.net/ .  We are looking for high-quality 
papers related to theoretical advances, novel technologies, and 
artificial intelligence applications that involve rule-based 
representation and reasoning.




Due to numerous requests, the deadline for RuleML+RR has been extended 
substantially. The important *new* dates for the RuleML+RR conference are:
* June 19th: abstract submission deadline
* June 23rd: paper submission deadline – strict!
* August 1st: Notification of acceptance
* September 26th-28th: Conference




The confirmed keynote speakers for RuleML+RR are:
Ian Horrocks (University of Oxford)
Torsten Schaub (University of Potsdam)
Christian de Saint Marie (IBM France)
Paul Vincent (Industry Analyst)


RuleML+RR 2022 Programm Chairs
* Guido Governatori, Brisbane, Australia (gvdgdo@gmail.com)
* Anni-Yasmin Turhan,  Dresden University of Technology, Germany 
(anni-yasmin.turhan@tu-dresden.de)


Topics
RuleML+RR welcomes research from all areas of Rules and Reasoning.
The topics of the conference include, but are not limited to:

### Ontology/Semantic Web
* Vocabularies, ontologies, and business rules
* Ontology-based mediated query answering
* Rules for knowledge graphs and ontology learning
* Rule-based data integration
* Data management and data interoperability for web data
* Distributed agent-based systems for the web

### Rules for AI  and AI for Rules
* Rule-based approaches to natural language processing
* Applications of rule technologies with explainable AI (xAI) elements
* Machine learning approaches involving rules
* Explainable AI approaches based on rules,
* Rule-based approaches for intelligent systems and intelligent 
information access

### Rules and Reasoning / Logics
* Non-classical logics and the web
* Description Logics, existential rules
* Higher-order and modal rules
* Constraint programming
* Logic programming, ASP and datalog
* Rule based argumentation
* Rule-based approaches to agents and multi-agent systems
* Reasoning with incomplete, inconsistent and uncertain data
* Non-monotonic, common-sense, and closed-world reasoning
* Inconsistency-tolerant rule reasoning

### Technical Aspects of Rule Systems / Rule Technology
* Streaming data and complex event processing
* Web reasoning and distributed rule inference and execution
* Scalability and expressive power of logics for the Semantic Web
* Scalability and expressive power of logics for rules

### Rules and Interoperability
* Rule markup languages, rule interchange formats, and rule standards
* Rule-based policies, reputation, and trust
* Rules and human language technology

### System descriptions, applications and experiences of ontologies and 
rules in:
* climate change monitoring, mitigation & adaptation
* environmental protection
* healthcare and life sciences
* equity and social welfare
* law, regulation, and finance
* Digital Twins
* Industrial contexts
* Production & business rule systems

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Main conference track
High-quality papers related to theoretical advances, novel technologies, 
and artificial intelligence applications concerning explainable 
algorithmic decision-making that involve rule-based representation and 
reasoning are solicited.
We accept the following submission formats for papers:
* Long papers (up to 15 pages in LNCS style including references)
* Short papers (up to 8 pages in LNCS style including references)
Long papers should present original and significant research and/or 
development results. Short papers should concisely describe general 
results or specific applications, systems, or position statements. All 
submissions must be prepared in Springer's LNCS style 
(http://www.springer.com/comp/lncs/authors.html).

Submissions to the RuleML+RR conference
Submitted papers must not substantially overlap with papers that have 
been published or that are simultaneously submitted to a journal or a 
conference/workshop with formal proceedings. Double submission to a 
workshop with informal proceedings is allowed. Papers put on arXiv are 
also allowed as long as they are not refereed (i.e., formally reviewed 
by peers). Please see 
https://2022.declarativeai.net/events/ruleml-rr/ruleml-rr-cfp for 
further details on preparing the submission. Papers can be submitted 
using EasyChair https://easychair.org/conferences/?conf=declarativeai22 .

Publication
The conference proceedings will be published by Springer in the Lecture 
Notes in Computer Science series (LNCS) after the conference. A 
selection of the accepted papers of RuleML+RR 2021 will be invited for 
submission to the Journal of Theory and Practice of Logic Programming 
(TPLP) published by Cambridge University Press.

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   16th International Rule Challenge Track
The Rule Challenge solicits high quality papers focussing on practical 
problems - or challenges - related to rule-based approaches.  We welcome 
two different kinds of submissions:
(1) Challenge descriptions: 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 the evaluation 
criteria;
(2) 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.
All submissions must be formatted in the LNCS style and should be 
between 8-15 pages. The paper submission deadline is July 7th, 2022. The 
submission page is https://easychair.org/conferences/?conf=declarativeai22 .

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   The Doctoral Consortium Track
hosted at RuleML+RR 2022 aims at promoting student research in 
Artificial Intelligence, especially research on rule-based formalisms 
and reasoning. It offers PhD students close contact with leading experts 
in the field, as well as the opportunity to present and discuss their 
ideas in a dynamic and friendly setting.

We invite PhD students at an early or intermediate stage of their PhD 
studies as well as exceptional Master’s students who are interested in 
pursuing a PhD to submit papers describing their research on any of the 
topics of interest to RuleML+RR 2022.  RuleML+RR DC papers are limited 
to 8 pages written in English following the LNCS format and submitted 
electronically in PDF format jointly with a maximum 2 pages CV. Details 
can be found in the RuleML+RR 2022 DC CfP 
(https://2022.declarativeai.net/events/ruleml-rr/ruleml-rr-dc).  The 
paper submission deadline is July 7th, 2022 (titles/abstracts are due on 
June 30, 2022). Papers can be submitted via 
https://easychair.org/conferences/?conf=declarativeai22 .

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Important *new* dates for the RuleML+RR conference
* June 19th: abstract submission deadline
* June 23rd: paper submission deadline – strict!
* August 1st: Notification of acceptance
* September 26th-28th: Conference

For each of these deadlines, a cut-off point of 23:59 AOE applies.
Check out further details materializing at https://2022.declarativeai.net/.

Received on Monday, 30 May 2022 13:12:16 UTC