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.