[CfP] TGDK Special Issue: Rules and Reasoning for Graph-Based Data & Knowledge

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Special Issue: Rules and Reasoning for Graph-Based Data & Knowledge

https://www.dagstuhl.de/en/institute/news/2026/tgdk-cfp-special-issue-rules-and-reasoning-for-graph-based-data-knowledge

Transactions on Graph Data & Knowledge (TGDK)

https://www.dagstuhl.de/tgdk

Submissions due: September 14th, 2026

Dagstuhl Publishing, Diamond Open Access (without fees)
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Rules, ontologies and other logic-based forms of knowledge 
representation are increasingly used to represent and reason over 
graph-based data and knowledge. Such representations and reasoning 
processes may operate under different assumptions (e.g., open vs. closed 
world assumptions, unique vs. non-unique name assumptions), may aim to 
represent diverse types of knowledge (e.g., encyclopaedic, procedural, 
common-sense, etc.), may have different purposes (e.g., classification, 
execution, consistency-checking, validation, etc.), but all are based on 
the idea of capturing real-world phenomena via logic-based, 
machine-readable languages and processes. Such techniques are 
increasingly seen as a more explainable and more precise alternative to 
machine learning processes, and are being increasingly combined with 
such processes to build more reliable AI systems.

In this Special Issue, we solicit submission of original research, 
survey and resources articles in the scope of TGDK (graph-based data and 
knowledge) relating more specifically to the application of rules and 
logic-based reasoning processes.

== Scope ==

This special issue welcomes research, resource and survey articles in 
the specific context of graph-based data and knowledge on sub-topics 
that include, but are not limited to:

Ontologies and Semantic Web
* Ontology-based data access
* Rules for knowledge graph creation
* Rules for knowledge graph embeddings and ontology learning
* Data interoperability for the Semantic Web

Rules meet AI for Graphs
* Combining rules / ontologies, LLMs and graphs
* Machine learning representations involving rules and graphs
* Explainable AI approaches based on rules and graphs
* FAIRness approaches based on rules and graphs
* AI alignment based on rules and graphs.
* Agentic AI based on rules and graphs

Logics for Graphs
* Non-classical logics for graphs
* Description Logics, existential rules for graphs
* Higher-order logics and modal rules for graphs
* Logic programming, ASP, and Datalog for graphs
* Rule-based argumentation for graphs
* Agentic, rule-based approaches using graphs

Reasoning Systems for Graphs
* Inconsistency-tolerant rule reasoning for graphs
* Reasoning with incomplete, inconsistent and uncertain data for graphs
* Streaming data and complex event processing over graphs
* Non-monotonic, common-sense, and closed-world reasoning for graphs
* Scalable and efficient reasoning over graphs
* Rule-based data quality and benchmarks for graphs

Rules and Interoperability
* Rule markup languages and standards for graphs
* Rule-based policies, reputation, and trust for graphs
* Rule-based mapping languages for graphs

Constraints and Schema
* Shapes for knowledge graphs
* Validating schema languages for graphs
* Mining constraints and schemata from graphs
* Repair strategies for graphs
* Closed-world reasoning for graphs
* Certain answers for graph databases

Ontologies, Rules and Graphs for ...
* Climate change monitoring, mitigation & adaptation
* Environmental protection
* Supply-chain analysis
* Agriculture and agri-food
* Healthcare and life sciences
* Equity and social welfare
* Law, regulation, and finance
* Privacy, security and access control
* Digital Twins
* Industrial contexts
* Production & business rule systems

== Guest Editors ==

* Aidan Hogan, University of Chile, Chile
* Ken Satoh, National Institute of Informatics, NII, Japan
* Ahmet Soylu, Kristiania University of Applied Sciences, Norway

== Timeline ==

* Submissions: September 14, 2026
* Author Notifications: December 14, 2026
* Revisions: January 26, 2027
* Author Notifications: March 26, 2027
* Publication: Q2/Q3, 2027

== Submission ==

Please follow the the submission instructions for TGDK and select the 
corresponding Special Issue:

     https://drops.dagstuhl.de/entities/journal/TGDK#author

As a Diamond Open Access journal, official versions of accepted papers 
(as accessible via DOI) are published and made available for free online 
without fees for authors or readers (thanks to the collaboration of 
Dagstuhl Publishing, and financial support from SWSA).

== Contact ==

For inquiries, please contact the TGDK Editors-in-Chief / Guest Editors 
in copy.

Received on Friday, 29 May 2026 16:37:26 UTC