[DL] Extended Deadline: 4th International Joint Conference on Rules and Reasoning

Jean Jung jeanjung at uni-bremen.de
Wed Mar 4 19:39:19 CET 2020



RuleML+RR 2020: 4th International Joint Conference on Rules and Reasoning
29 June - 1 July 2020
Oslo, Norway


Part of "Declarative AI 2020: Rules, Reasoning, Decisions and Explanations"
(DeclarativeAI 2020, https://2020.declarativeai.net)

High-quality papers that involve rule-based representation and reasoning
are solicited, e.g. related to theoretical advances, novel technologies,
and artificial intelligence applications concerning explainable algorithmic

Theme for 2020 edition: Explainable algorithmic decision-making

Important paper submission dates (EXTENDED):

- Abstract: 3 April 2020
- Full paper: 10 April 2020

The 4th International Joint Conference on Rules and Reasoning (RuleML+RR 2020)
is the leading international joint conference in the field of rule-based reasoning.
Stemming from the synergy with the DecisionCAMP summit, which brings together
leading decision management authorities, vendors, and practitioners, one of the
main goals of RuleML+RR is to build bridges between academia and industry in the
area of rule-based reasoning and applications. RuleML+RR 2020 is part of the event
"Declarative AI: Rules, Reasoning, Decisions, and Explanations" to be held in the
beautiful city of Oslo, Norway, between 29 June - 1 July 2020.

RuleML+RR 2020 aims to bring together rigorous researchers and inventive practitioners,
interested in the foundations and applications of rules and reasoning in academia,
industry, engineering, business, finance, healthcare, environment, and other
application areas. It provides a forum for stimulating cooperation and
cross-fertilization between the many different communities focused on the research,
development, and application of rule-based systems.

== TOPICS ==
RuleML+RR welcomes research from all areas of Rules and Reasoning, including topics
from our 2020 theme: explainable algorithmic decision-making. The topics of the
conference include:
* Machine learning approaches involving rules (e.g, extracting rules from Deep
  Neural Networks or rule-based classification)
* Rules for knowledge graphs and ontology learning
* Rule-based approaches to natural language processing
* Explainable AI approaches based on rules, psychological aspects of rule learning
* Rules of ethics, biases, laws, policies, and regulations
* Production & business rule systems
* Communicating rule models with Decision Model and Notation (DMN)
* Applications of rule technologies with explainable AI (xAI) elements
* Foundations of declarative AI architectures and languages
* Rule-based approaches for intelligent systems and intelligent information access
* Vocabularies, ontologies, and business rules
* Ontology-based data access
* Rule-based data integration
* Data management and data interoperability for web data
* Distributed agent-based systems for the web
* Rule-based approaches to agents
* Scalability and expressive power of logics for the semantic web
* Reasoning with incomplete, inconsistent and uncertain data
* Non-monotonic, common-sense, and closed-world reasoning for web data
* Non-classical logics and the Web
* Constraint programming
* Logic programming
* Streaming data and complex event processing
* Higher-order and modal rules
* Web reasoning and distributed rule inference and execution
* Rule markup languages and rule interchange formats
* Rule-based policies, reputation, and trust
* Rules, blockchain, and smart contracts
* Scalability and expressive power of logics for rules
* System descriptions, applications and experiences
* Rules and human language technology
* Rules in online market research and online marketing
* Applications of ontologies and rules in environmental protection
* Applications in climate change monitoring, mitigation & adaptation
* Applications in healthcare and life sciences
* Applications in peace and conflict studies
* Applications in equity and social welfare
* Applications in law, regulation, and finance
* Applications in Digital Twins
* Industrial applications of rules

We accept the following submission formats for papers:
* Long papers (up to 15 pages in LNCS style)
* Short papers (up to 8 pages in LNCS style)

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.

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.

Submissions: via EasyChair

In addition to regular submissions, RuleML+RR 2020 will include the 14th
International Rule Challenge, a Doctoral Consortium, an Industry Track, and
a Posters and Interactions session.

RuleML+RR 2020 is co-located with DecisionCAMP 2020 and the 16th Reasoning
Web Summer School (RW 2020), as part of the Declarative AI 2020 event.

The conference proceedings will be published by Springer in the Lecture
Notes in Computer Science series (LNCS).

All submissions must be prepared in Springer's LaTeX style LNCS

A selection of the best accepted papers of RuleML+RR 2020 (2-6 papers) will
be invited for submission to the Journal of Theory and Practice of Logic
Programming (TPLP) published by Cambridge University Press. All accepted papers 
will also be considered for the best paper award sponsored by Springer.



Title and Abstract submission: 3 April 2020
Full papers submission: 10 April 2020
Notification of acceptance: 15 May 2020
Camera-ready submission: 22 May 2020
Conference: 29 June - 1 July 2020

We will try to be supportive in case of travel difficulties or restrictions.

For example, if the notification deadline is too tight due to visa requirements, 
please send us an email and we will put you on fast-track. Fast-track papers 
will still need to go through the regular review process, but the notification
will be sent sooner.


* Prof. Eyke Hullermeier, Univ. Padeborn, Germany: Multilabel rule learning
* Prof. Dieter Fensel, STI Innsbruck, Austria: Knowledge Graphs: Methodologies, Tools, and Selected Use Cases
* Derek Miers, Sr Director at Gartner, United Kingdom: What The Real World Needs From Decision Management, Reasoning and AI
* Prof. Arild Waaler, Sirius Centre for Scalable Data Access, Norway: title TBA

- General Chairs:
* Dumitru Roman (SINTEF AS / University of Oslo, Norway)
* Martin Giese (University of Oslo, Norway)
* Ahmet Soylu (NTNU / SINTEF AS, Norway)

- Program Chairs:
* Victor Gutierrez Basulto (Cardiff University, UK)
* Tomas Kliegr (University of Economics, Prague, Czech Republic)

- Doctoral Consortium Chairs
* Paul Fodor (Stony Brook University, USA)
* Daniela Inclezan (Miami University, USA)

- Rule Challenge Chairs
* Sotiris Moschoyiannis (University of Surrey, U.K.)
* Jan Vanthienen (KU Leuven, Belgium)

- Industry Track Chairs
* Francisco Martin-Recuerda (DNVGL, Norway)
* Nicolay Nikolov (SINTEF AS, Norway)
* Ioan Toma (Onlim, Austria)

- Posters & Interactions Chairs
* Carlos A. Iglesias (Universidad Politecnica de Madrid, Spain)
* Dia Trambitas-Miron (UMFST, Romania / John Snow Labs, USA)

- Publicity Chair
* Jean Christoph Jung (Bremen University, Germany)

- Program Committee


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