Topics

RuleML+RR welcomes original research from all areas of Rules and Reasoning. Topics of particular interest include:

Rule-based languages for intelligent information access and for the semantic web
Vocabularies, ontologies, and business rules
Ontology-based data access
Data management, and data interoperability for web data
Distributed agent-based systems for the web
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
Production & business rules systems
Streaming data and complex event processing
Rules for machine learning, knowledge extraction and information retrieval
Rule-based approaches to natural language processing
Rule discovery, extraction and transformation
Rules and ontology learning
Deep Learning for rules and ontologies
Neural Networks and logic rules
Neural Networks and ontologies
Rule-based approaches to agents
Higher-order and modal rules
Rules for knowledge graphs
Pragmatic web reasoning and distributed rule inference/rule execution
Big data reasoning with rules
Rule markup languages and rule interchange formats
Rule-based policies, reputation, and trust
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 rule technologies in health-care and life sciences
Applications of rule technologies in law, regulation and finance
Industrial applications of rules
Rules and social media
Rules of ethics, laws, policies, and regulations

Particularly encouraged are submissions that combine one or several of the above topics with the overall focus theme of the LuxLogAI Summit: Methods and Tools for Responsible AI.