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IJCKG 2025: 14th International Joint Conference on Knowledge Graphs

October 15-17, 2025, Heraklion, Crete, Greece
Website: https://ijckg2025.github.io/index.html
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*** Overview ***
The 14th International Joint Conference on Knowledge Graphs (IJCKG 2025)
is a premium academic forum on Knowledge Graphs. The mission of IJCKG
2025 is to bring together researchers in the international Knowledge
Graph community and other related areas to present their innovative
research results or novel applications of Knowledge Graphs. IJCKG has
evolved from the Joint International Semantic Technology Conference
(JIST), a joint event for disseminating research results regarding the
Semantic Web, Knowledge Graphs, Linked Data and AI on the Web.

IJCKG 2025 will take place for the first time in Europe, hosted by the
Institute of Computer Science at the Foundation for Research and
Technology, Hellas (FORTH) in Heraklion, Crete, Greece.


*** Theme ***
The theme of this conference is “Knowledge Graphs and Large Language
Models”, which aims to explore the intersection of these two
cutting-edge fields and innovative opportunities for their integration,
explore the role and application of knowledge graphs in cross-platform,
cross-field and other AI tasks, and study knowledge representation,
knowledge organization and storage, knowledge mining, knowledge fusion,
automated reasoning and other key technologies of knowledge graph
development in the context of Artificial General Intelligence, guide the
transformation of knowledge graph related technologies, and lay the
foundations for the ultimate realization of Artificial General
Intelligence. The conference program will include workshops, keynotes, a
frontiers and trends forum, industry forum, young scholars forum,
evaluations and competitions, paper presentations, posters and demos. We
invite scholars from academia to introduce the latest developments in
related fields and development trends, and R&D experts in industry to
share practical experience, and promote industry-university-research
cooperation.

In addition to research papers and application papers, IJCKG 2025 will
continue to set the theme of knowledge graph open resources, aiming to
support and promote data resource sharing in academia and industry.
Resources include but are not limited to: knowledge graphs/ontologies,
datasets/evaluation sets, software tools/services/APIs/frameworks,
protocols/standard specifications, etc. We encourage publishing
resources in the Open Knowledge Graph community (OpenKG). Reviewers will
comprehensively evaluate the quality of resources and papers along the
dimensions of resource quality and potential influence, reusability
(such as documentation), and availability (such as URLs and open source
agreements), and OpenKG will review the selected open resources to carry
out publicity and promotion.


*** Tracks ***
- Research
- Full Papers
- Demo Papers and Posters
- In-Use Track
- Workshops
- Industry Forum
- Evaluation Track
- Education Track


*** Topics of interest include, but are not limited to ***
- Knowledge Graph Enhanced Large Language Models (KG4LLM and LLM4KG):
- Knowledge Graph Enhanced Training
- Knowledge Graph Enhanced Reasoning
- Knowledge Graph Enhanced Interpretability
- Knowledge Representation and Reasoning:
- Ontology Modeling and Evolution
- Knowledge Representation Learning
- Knowledge Base Completion
- Knowledge Graph Construction and Knowledge Integration:
- Entity/Event Extraction
- Complex Knowledge (Events, Rules, Processes) Acquisition
- Multi-Modal Knowledge Graph Construction
- Ontology Matching and Entity Alignment
- Graph Database and Knowledge Management:
- Architecture Design of Graph Databases
- Graph Query Languages
- Graph Database Indexing Technologies, and the Application of Graph
Database in Knowledge Management
- Machine Learning on Graphs:
- Design and Applications of Graph Machine Learning Models, and
Research on Representation Learning
- Graph Classification and Graph Clustering
- Graph Generation of Graph Data
- Knowledge Retrieval and Information Retrieval:
- Knowledge Graph based Information Retrieval
- Graph Structured Data based Information Retrieval
- Cross-Modal Information Retrieval, and Knowledge Graph Inference
in Information Retrieval
- Knowledge Graph and Large Language Model Applications:
- Semantic Search
- Question Answering and Dialogue
- Recommendation System and Decision Support
- Industrial/Government Applications
- Knowledge Graph Open Resources:
- Domain Knowledge Graph
- Evaluation Methods and Datasets
- Knowledge Graph Visualization Tools


*** Important Dates ***
Full Paper Submission Deadline: June 15, 2025


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General Chairs
Hideaki Takeda (National Institute of Informatics, Japan)
Yannis Tzitzikas (University of Crete and FORTH, Greece)

PC Chairs
Shizhu He (Institute of Automation, Chinese Academy of Sciences, China)
Dimitris Plexousakis (University of Crete and FORTH, Greece)

Local Organizer
Foundation for Research and Technology - Hellas (FORTH, Greece)
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