RuleML+RR 2026

Call summary

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

Submission and publication

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

We accept the following submission formats for papers:

• Long papers (up to 15 pages in LNCS style excluding references, plus 2 additional pages for references)

• Short papers (up to 8 pages in LNCS style excluding references, plus 1 additional page for references)

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. All submissions must be prepared in Springer's LNCS style (http://www.springer.com/comp/lncs/authors.html).

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. Papers put on arXiv are also allowed as long as they are not refereed (i.e., formally reviewed by peers).

The best papers will be considered for special issues of the Theory and Practice of Logic Programming or the Transactions on Graph Data and Knowledge journals.

Submissions to the RuleML+RR conference:

• abide by the page limits (see above)

• are not anonymous 

• can have additional material included as an external report (appendices to the submission are not permitted and a paper should be self-contained)

Papers should be written in English.

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

The best paper will be awarded the RuleML+RR Harold Boley Distinguished Paper Award 2026 and best student paper will be awarded the RuleML+RR Best Student Paper Award 2026.

Important dates

• May 8th, 2026 (AoE): Title and Abstract Submission (add to your calendar) 

• May 15th, 2026 (AoE): Paper Submission (add to your calendar)

• June 26th, 2026 (AoE): Notification of Acceptance (add to your calendar)

• August 24th–26th, 2026: Conference (add to your calendar) 

Acknowledgement

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.