RuleML+RR 2026 (International Joint Conference on Rules and Reasoning) is a ICORE B conference held in Vilnius, Lithuania on 2026-08-24. The paper submission deadline is 2026-05-15 (extended). Acceptance notifications are sent on 2026-07-03.
The 10th International Joint Conference on Rules and Reasoning (RuleML+RR 2026) is the leading venue in the field of rule-based reasoning. A primary goal of RuleML+RR is to build bridges between academia and industry in the area of semantic reasoning.
RuleML+RR 2026 aims to bring together researchers and practitioners interested in the foundations and applications of rules and reasoning. It provides a forum for stimulating cooperation between different communities focused on the research, development, and applications of rule-based systems. This year, we particularly encourage contributions at the intersection of databases and AI, reflecting the growing importance of data-centric and hybrid approaches to rule-based reasoning.
We solicit high-quality papers related to theoretical advances, novel technologies, and applications that involve rule-based representation and reasoning or other declarative forms of artificial intelligence.
The RuleML+RR 2026 conference is part of the event “Declarative AI: Rules, Reasoning, Decisions, and Explanations”.
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 data access
Rules for knowledge graph creation
Rules for knowledge graph embeddings and ontology learning
Rule-based data integration
Data management and data interoperability for web data
Distributed agent-based systems for the web
Data-centric and database-aware AI approaches
Learning rules from relational and graph databases
AI-assisted data management and query processing
Rules for AI and AI for rules
Rule-based approaches to natural language processing
Machine learning approaches involving rules
Explainable AI approaches based on rules
FAIRness approaches based on rules
Rule-based approaches for intelligent systems and intelligent information access
Rule-based approaches to agents and Agentic AI
Logical foundations for data-centric AI
Reasoning over large-scale databases for AI workflows
Rules and Reasoning / logics
Non-classical logics
Description Logics, existential rules
Higher-order and modal rules
Constraint programming
Logic programming, ASP, and Datalog
Rule-based argumentation
Reasoning with incomplete, inconsistent and uncertain data
Non-monotonic, common-sense, and closed-world reasoning
Inconsistency-tolerant rule reasoning
Logical foundations for data-centric AI
Reasoning over large-scale databases for AI workflows
Rules-based systems
Streaming data and complex event processing
Web reasoning and distributed rule inference and execution
Scalability and expressive power of logics for rules
Rule-based data quality and benchmarks
Hybrid AI–database systems
Rule-based orchestration of data pipelines for machine learning
Rules and interoperability
Rule markup languages, rule interchange formats, and rule standards
Rule-based policies, reputation, and trust
Rules and human language technology
Rule-based mapping languages
Constraints and schema
Shapes for knowledge graphs
Validating schema languages
Mining constraints and schemata
Repair strategies
Certain answers under constraint violations
System descriptions, applications and experiences of ontologies and rules in
Climate change monitoring, mitigation & adaptation
Environmental protection
Agriculture and agri-food
Healthcare and life sciences
Equity and social welfare
Law, regulation, and finance
Digital Twins
Industrial contexts
Production & business rule systems
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