LLM-TEXT2KG 2026: 5th International Workshop on LLM-Integrated Knowledge Graph Generation from Text (Text2KG) Dubrovnik, Croatia, May 10-14, 2026 |
| Conference website | https://aiisc.ai/text2kg2026/ |
| Submission link | https://easychair.org/conferences/?conf=llmtext2kg |
| Abstract registration deadline | February 28, 2026 |
| Submission deadline | March 13, 2026 |
Call for Papers – LLM-TEXT2KG 2026
5th International Workshop on LLM-Integrated Knowledge Graph Generation from Text (Text2KG) Co-located with the Extended Semantic Web Conference (ESWC 2026)May 10–14, 2026 • Dubrovnik, Croatia
Knowledge graphs (KGs) are foundational to semantic technologies, information retrieval, and AI systems. However, constructing high-quality structured KGs from diverse unstructured text sources remains a significant challenge. With the rapid advancement of Large Language Models (LLMs), new opportunities exist for improving entity recognition, relation extraction, inference, and representation learning for KG generation.
The LLM-TEXT2KG 2026 Workshop aims to bring together researchers and practitioners to discuss novel methodologies, best practices, and applications in integrating LLMs with text-to-knowledge-graph pipelines. Contributions that push the frontiers of KG generation across domains such as scientific literature, legal texts, social media, and enterprise datasets are welcome.
Call for Papers: https://aiisc.ai/text2kg2026/
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Full Papers:
- Novel research contributions of extended length
- Related to workshop topics (below)
- 7-12 pages excluding references
- Papers should follow the 1-column CEUR format (https://ceur-ws.org/HOWTOSUBMIT.html#CEURART)
- Short Papers:
- Novel research contributions and preliminary results
- Related to workshop topics (below)
- 4-6 pages excluding references
- Papers should follow the 1-column CEUR format (https://ceur-ws.org/HOWTOSUBMIT.html#CEURART)
- AI-Generated Papers:
- Papers generated using AI
- Upload a description of the generation approach (1-2 pages) and the generated paper itself (distinct paper sections are also allowed)
- Approach Description: Include an explanation of your method for generating the paper. The length can vary from a brief overview of two paragraphs to a more detailed description of up to two pages. The description should follow the 1-column CEUR format (https://ceur-ws.org/HOWTOSUBMIT.html#CEURART).
- AI-Generated Paper: Submit a paper generated by AI on a topic of your choosing. The AI-generated paper can be in any format and follow any template.
- We hope this initiative will provide valuable insights into the role of AI in (the future of) research, and we look forward to your potential contribution
Important Dates
Abstract Submission Deadline: Feb 28, 2026
Paper Submission Deadline: March 13, 2026
Notification: April 1, 2026
Camera Ready Copy: April 10, 2026
List of Topics
- Open Information Extraction
- Deep Learning and Generative approaches
- Human-in-the-loop methods
- Large Language Models and Knowledge Graphs
- RAG-Driven Knowledge Extraction
- Intelligent Agents for Text to Knowledge Graphs
- LLM-KG Integration
- Benchmarks for KG Generation from Text
- Evaluation Methods for KGs Generated from Text
Organizing Committee
- Sanju Tiwari (TIB Hannover, Germany & Sharda University, Greater Noida, India)
- Jennifer D’Souza (TIB Leibniz Information Centre for Science and Technology, Hannover, Germany)
- Nandana Mihindukulasooriya (IBM Research, New York, USA)
- Francesco Osborne (The Open University, Milton Keynes, United Kingdom)
Publication
LLM-TEXT2KG 2026 proceedings will be published with CEUR (https://ceur-ws.org/).
Venue
Co-located with the Extended Semantic Web Conference (ESWC 2026)May 10–14, 2026 • Dubrovnik, Croatia
Contact
All questions about submissions should be emailed to tiwarisanju18@ieee.org.
Detailed information on the Call for Papers is available on the website: https://aiisc.ai/text2kg2026/
