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IJCKG 2026: 15th International Joint Conference on Knowledge Graphs

November 19–21, 2026, Bangkok, Thailand

Website: https://ijckg2026.aiat.or.th

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*** Overview ***

The 15th International Joint Conference on Knowledge Graphs (IJCKG 2026)

is a premium academic forum on Knowledge Graphs. The mission of IJCKG

2026 is to bring together researchers in the international Knowledge

Graph community and related areas to present innovative research results

and 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 2026 will take place in Bangkok, Thailand, hosted by the National

Electronics and Computer Technology Center, Thailand and the Artificial

Intelligence Association of Thailand.

*** Theme ***

The theme of this conference is “Knowledge Graphs for Agentic, Multimodal,

and Retrieval-Augmented Intelligence”, which aims to explore the evolving

role of knowledge graphs in next-generation AI systems. As artificial

intelligence advances from standalone foundation models toward agentic,

multimodal, and retrieval-augmented paradigms, knowledge graphs provide

essential support for structured knowledge integration, semantic grounding,

and explainable reasoning.

This theme highlights the convergence of symbolic knowledge representation

and data-driven AI, including the integration of knowledge graphs with

retrieval-augmented generation (RAG), graph-enhanced large language models,

autonomous and agentic systems, tool use, and multimodal learning. It also

encourages research on knowledge representation, ontology engineering,

knowledge acquisition, reasoning, and system-level integration for

intelligent applications.

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

researchers from academia and practitioners from industry to share recent

advances and practical experiences, fostering collaboration between

research and application.

In addition to research and application papers, IJCKG 2026 will continue

to emphasize knowledge graph open resources to support data and system

sharing in academia and industry, including knowledge graphs, ontologies,

datasets, tools, APIs, frameworks, and standards.

*** Tracks ***

- Research (Full Papers)

- Demo Papers and Posters

- In-Use Track

- Industry Forum

- Workshops

- Evaluation Challenges

- Education Track

*** Topics of interest include, but are not limited to ***

**1. Knowledge Graphs for Generative AI, RAG, and Agentic Systems**

* Knowledge Graphs for Retrieval-Augmented Generation, GraphRAG, and grounded generation
* Integration of Knowledge Graphs with Large Language Models
* KG4LLM and LLM4KG methods, systems, and applications
* Knowledge Graphs for autonomous, agentic, and tool-using AI systems
* Planning, reasoning, decision-making, and AI system orchestration with Knowledge Graphs
* Contextual grounding and knowledge integration using Knowledge Graphs

**2. Knowledge Representation, Ontologies, and Semantic Web**

* Knowledge representation and ontology engineering
* Ontology modeling, evolution, alignment, and reuse
* Semantic Web technologies and Linked Data
* Standards, vocabularies, and frameworks for Knowledge Graph development

**3. Knowledge Graph Construction, Acquisition, and Integration**

* Entity, relation, and event extraction for Knowledge Graphs
* Acquisition of complex knowledge, including events, rules, workflows, and processes
* Multimodal Knowledge Graph construction and integration
* Knowledge integration from structured, semi-structured, unstructured, and multimodal sources

**4. Knowledge Graph Management, Querying, and Infrastructure**

* Graph databases and Knowledge Graph management systems
* Graph query languages and semantic query processing
* Indexing, scalability, distributed processing, and optimization for large-scale Knowledge Graphs
* Data quality, provenance, trust, versioning, and lifecycle management of Knowledge Graphs

**5. Learning, Reasoning, and Analytics over Knowledge Graphs**

* Knowledge Graph embeddings and representation learning
* Knowledge base completion, link prediction, and graph inference
* Machine learning and graph neural networks on Knowledge Graphs
* Graph classification, clustering, generation, and anomaly detection
* Reasoning, rule learning, and neuro-symbolic methods for Knowledge Graphs

**6. Knowledge Graph-based Retrieval, Search, and Question Answering**

* Knowledge Graph-based information retrieval and semantic search
* Question answering over Knowledge Graphs
* Cross-modal retrieval and reasoning with Knowledge Graphs
* Dialogue systems and conversational AI with Knowledge Graphs

**7. Knowledge Graph Applications and Intelligent Systems**

* Recommendation systems and decision support using Knowledge Graphs
* Industrial and government applications of Knowledge Graphs
* Knowledge Graphs for science, education, healthcare, cultural heritage, social good, and sustainability
* Domain-specific Knowledge Graphs and intelligent applications

**8. Evaluation, Interaction, and Open Resources**

* Evaluation methods, benchmarks, and datasets for Knowledge Graphs, RAG, GraphRAG, and KG-enhanced AI systems
* Knowledge Graph visualization, exploration, and human–KG interaction
* Open Knowledge Graph resources, tools, platforms, and reusable datasets
* Reproducibility, benchmarking practices, and community resources

*** Important Dates ***

Abstract Submission deadline: June 23,2026

Full Paper Submission Deadline: June 30, 2026

Acceptance Notification: August 26, 2026

*** Submission Guidelines ***

Authors are invited to submit original, unpublished research papers.

Submissions must be written in English and formatted according to the

Springer LNCS/LNAI guidelines.

Full papers should not exceed 15 pages (including references).

Demo and poster papers should not exceed 6 pages (including references).

Formatting instructions and templates are available at:

https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

*** Proceedings ***

Accepted papers will be published in the conference proceedings by

Springer in the Lecture Notes in Artificial Intelligence (LNAI) series,

which is part of the Lecture Notes in Computer Science (LNCS) series.

Selected high-quality papers will be invited to submit extended versions

to a special issue of the New Generation Computing journal (Springer),

subject to the journal’s review process.

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General Chairs

- Thepchai Supnithi (National Electronics and Computer Technology Center,

Thailand; Artificial Intelligence Association of Thailand, Thailand)

- Dimitris Plexousakis (Foundation for Research and Technology - Hellas,

Greece; University of Crete, Greece)

Program Chairs

- Chutiporn Anutariya (Asian Institute of Technology, Thailand)

- Kozaki Kouji (Osaka Electro-Communication University, Japan)

- Manolis Koubarakis (National and Kapodistrian University of Athens,

Greece)

Local Chairs

- Taneth Ruangrajitpakorn (National Electronics and Computer Technology Center,

Thailand)

- Rachasak Somyanonthanakul (Thammasat University, Thailand;

Artificial Intelligence Association of Thailand, Thailand)

Workshop Chairs

- Rathachai Chawuthai (King Mongkut's Institute of Technology Ladkrabang, Thailand)

- Chuanyi Liu (Harbin Institute of Technology, Shenzhen, China)

Demo and In-Use Track Chairs

- Hutchatai Chanlekha (Kasetsart University, Thailand)

- Takeshi Morita (Aoyama Gakuin University, Japan)

Shumin Deng (Zhejiang University, China)

Industry Track Chairs

- Monchai Lertsutthiwong (KBTG, Thailand)

Education Track Chairs

- Wirapong Chansanam (Khon Kaen University, Thailand)

- Natthawut Kertkeidkachorn (Japan Advanced Institute of Science and Technology, Japan)

Young Scholar Forum Chair

- Aslan B. Wong (Artificial Intelligence Association of Thailand, Thailand)

Evaluation Challenge Chairs

- Prachya Boonkwan (Sirindhorn International Institute of Technology, Thailand)

- Shaojuan Wu (Shanxi University, China)

Local Organizer

National Electronics and Computer Technology Center (NECTEC), Thailand

Artificial Intelligence Association of Thailand (AIAT), Thailand

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