Conference Information

RuleML+RR 2026: International Joint Conference on Rules and Reasoning

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RuleML+RR
Submission Date:
2026-05-15 Extended
Notification Date:
2026-07-03
Conference Date:
2026-08-24
Location:
Vilnius, Lithuania
Years:
ICORE: B   Viewed: 11978   Tracked: 0   Attend: 0

Call For Papers

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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