IJCKG-PDW 2026
IJCKG 2026 Posters, Demos and Workshops

Table of Contents

• Preface
  

IJCKG 2026 Poster and Demo Track

• PENGUIN: AI-Assisted Cross-Platform Discovery of Research Records Using the Polar Science Knowledge Graph
  Qi Zhang, Masayoshi Kozai, Kunio T. Takahashi, Yoshimasa Tanaka, Akira Kadokura, Masaki Kanao
• Pairing LLM4KG and KG4LLM: Framework-Specific Knowledge Graphs for Semantically Correct Repository-Level Code Generation
  Anjana C. Tissera, Chantri Polprasert, Mongkol Ekpanyapong
• Improving Retrieval Accuracy in Two Knowledge Graph RAG Frameworks via BM25 Integration
  Koki Takami, Tetsuya Takiguchi, Yasuo Ariki, Yusuke Iwasaki, Motoki Kojima, Masaki Yamamoto
• An Intent–Background–Constraint Structured Representation for Underspecified Queries in Long-Term Conversational Memory Retrieval
  Yuma Masuda, Tetsuya Takiguchi, Yasuo Ariki, Yusuke Iwasaki, Motoki Kojima, Masaki Yamamoto
• HierCache-RAG: Fast Retrieval-Level Caching for GraphRAG
  Jnana Durga Ravi Chand Mutthina, Sriharsha Doniparthi
• Burmese SpellGraph: Learning a Task-Specific Syllable Error Graph for Myanmar Spelling Correction
  Ye Kyaw Thu, Thazin Myint Oo, Thepchai Supnithi
• Intent-KG Review: A Knowledge Graph for Region-Grounded Program Intent Analysis
  Rikuto Sasaki, Ren Shimoide, Kazuhiro Takeuchi
• TRACE-OU-Bench: A Sequential Benchmark for Ontology Update Decisions from Financial Filings
  Fang-Chun Yeh, Urjitkumar Patel, Chinmay Gondhalekar
• An LLM-Based Pipeline for Constructing Knowledge Graphs from Activity Records of Infectious Disease Patients
  Shintaro Yamada, Yasunori Yamamoto, Takashi Okumura, Ikki Ohmukai
• NitiGraph: Open Thai Legal Knowledge Graph
  Naphaphol Sawatvong, Patipon Wiangnak, Thiti Phutaarmart, Natthawut Kertkeidkachorn

Workshop on Research Data Management for Knowledge Graphs (RDM-KG 2026)

• Assessing Research Data Management Services Maturity in Thai Higher Education: A Qualitative Exploratory Study in Comparison with Japan
  Yasuyuki Minamiyama, Mikiko Ono, Takehiro Kashiyama, Kimiya Kitani, Tosirou Kamiya, Shoichiro Hara
• Automated Result-Level Reproduction of Machine-Learning Papers with LLMs: A Knowledge-Graph Pipeline and a Taxonomy of Failure
  Suhel Acharya, Chutiporn Anutariya, Yasuyuki Minamiyama, Hideaki Takeda, Vilas Wuwongse
• Toward Research Knowledge Graphs for AI Agents: Automatic Metadata Extraction from Research Notes Using Japanese Open LLMs and the Model Context Protocol — A Proof of Concept on GakuNin RDM
  Toshiyuki Kataoka, Yusuke Komiyama, Masaharu Hayashi, Hiroyuki Yasuda, Mikiko Tanifuji, Kazutsuna Yamaji
• Ontology-Guided Triple Extraction from Academic Papers: A Comparative Evaluation of Large Language Models
  Sethapong Samaruek, Patipon Wiangnak, Natthawut Kertkeidkachorn, Hideaki Takeda, Rathachai Chawuthai

International Workshop on Knowledge Graph Engineering in the Era of Large Language Models (KGE-LLM 2026)

• Adaptive Semantic-Causal Graph Integration for Robust Knowledge Graph RAG
  Takanori Ugai, Takeshi Morita
• Grounding Extended Type-KoPL with KG-Structure Feedback: Anchor-Probe Feedback and Cypher-Informed Reranking
  Kotaro Oshima, Yoichi Takahashi
• LLM-based Progressive Triple Extraction from Infographics for Climate Change Ontology Construction
  Kohei Doi, Kouji Kozaki
• A Citation-Grounded PDPA Ontology and QA Benchmark for Thai Legal Question Answering, with an Exploratory Graph-First RAG Study
  Kyi Thin Nu, Chutiporn Anutariya, Pattama Krataithong