[DL] CFP: IJCKG 2025: 14th International Joint Conference , , on Knowledge Graphs (@Crete, Oct 2025)

[Yannis Tzitzikas]

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Call for Papers/Demos/Workshops:


IJCKG 2025: 14th International Joint Conference

on Knowledge Graphs



October 15-17, 2025, Heraklion, Crete, Greece

Website: https://ijckg2025.github.io/index.html 
<https://ijckg2025.github.io/index.html>


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.


Keynote Speakers

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    Pascal Hitzler(Kansas State University, US), Knowledge Graphs in the
    Neurosymbolic AI Age

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    Katja Hose(TU Wien), TBA

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    Kang Liu(Chinese Academy of Sciences), Shuttle between Symbolic
    Knowledge and Neural Parameters


Awards!

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    Best Paper Award

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    Best Student Paper Award


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

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    Research

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        Full Papers (Submission: July 24)

      o

        Demo Papers and Posters (Submission: August 3)

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    In-Use Track (Submission: July 24)

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    Workshops (Submission: July 24)

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    Industry Forum (Submission: July 24)

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    Evaluation Track (Submission: July 24)

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    Education Track (Submission 2nd round: July 24)



Topics of interest include, but are not limited to:

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    Knowledge Graph Enhanced Large Language Models (KG4LLM and LLM4KG):
    Knowledge Graph Enhanced Training, Knowledge Graph Enhanced
    Reasoning, Knowledge Graph Enhanced Interpretability

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    Knowledge Representation and Reasoning: Ontology Modeling and
    Evolution, Knowledge Representation Learning, Knowledge Base Completion

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    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

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    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

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    Machine Learning on Graphs: Design and Applications of Graph Machine
    Learning Models, and Research on Representation Learning, Graph
    Classification, Graph Clustering, and Graph Generation of Graph Data

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    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

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    Knowledge Graph and Large Language Model Applications: Semantic
    Search, Question Answering and Dialogue, Recommendation System and
    Decision Support, Industrial/Government Applications

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    Knowledge Graph Open Resources: Domain Knowledge Graph, Evaluation
    Methods and Datasets, Knowledge Graph Visualization Tools



Important Dates:

Full Paper Submission Deadline: July 24, 2025

For the rest tracks please see 
https://ijckg2025.github.io/dates/important_dates.html 
<https://ijckg2025.github.io/dates/important_dates.html>



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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