IJCKG2023 papers

This page is tentative proceedings of IJCKG2023.
This page will be deleted after the conference and official proceedings will be published.

Reserach Track

Session 1

• Yuxin Zhang, Deqiang Yin, Zhenqian Wu, Yike Wang, Shengning Chen and Guilin Qi
  CDEP: Cross-domain Event Prediction Based on Continuous Learning
• Jin Aoyama, Takeshi Morita, Takanori Ugai, Shusaku Egami and Ken Fukuda
  Automatic Action Script Generation to Improve Execution Rate based on LLM in VirtualHome
• Yike Wu, Nan Hu, Sheng Bi, Guilin Qi, Jie Ren, Anhuan Xie and Wei Song
  Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering

Session 2

• Jingyuan Huang, Quntian Fang, Sijie Wang, Zhiliang Tian, Feng Liu, Zhen Huang and Dongsheng Li
  Argumentative Relationship Recognition Based on End-to-End Multitask Learning
• Pooja Oza, Shubham Chatterjee and Laura Dietz
  Neural Entity Context Models
• Yuan Meng, Xiaoqiu Lu, Deqiang Yin, Guilin Qi and Wei Song
  Enhancing Cross-Domain Term Extraction with Neural Topic-based Models

Session 3

• Riley Capshaw and Eva Blomqvist
  Understanding and Estimating Pseudo-Log-Likelihood for Zero-Shot Fact Extraction with Masked Language Models
• Keyu Wang, Site Li, Jiaye Li, Guilin Qi and Qiu Ji
  An Embedding-based Approach to Inconsistency-tolerant Reasoning with Inconsistent Ontologies
• Yukihiro Shiraishi and Ken Kaneiwa
  Embedding Models with Inverted-index and Co-occurrence Matrices for Ontology Subsumption Prediction

Session 4

• Bao Liu, Guilin Qi and Yuxin Zhang
  Hierarchical constrained attention for distantly supervised relation extraction
• Jianwei Zhang, Takeru Oda, Yuta Sasaki and Lin Li
  Link Prediction in Dynamic Networks by Combining GIN with LSTM
• Ryu Takeda, Munakata Hokuto and Kazunori Komatani
  Link Prediction Based on Large Language Model and Knowledge Graph Retrieval under Open-World and Resource-Restricted Environment

Session 5 (Short papers)

• Xi Tian, Peng Wang, Shengyu Mao and Ningyu Zhang
  Open-World Biomedical Knowledge Probing and Verification
• Yuki Sawamura, Takeshi Morita, Shusaku Egami, Takanori Ugai and Kenichiro Fukuda
  Japanese Pointer Network based Entity Linker for Wikidata
• Cheng Deng, Bo Tong, Jiaxin Ding, Luoyi Fu, Xinbing Wang and Chenghu Zhou
  PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model
• Zhu Ming, Zhang Min, Zhu Junhao, Zhao Yanqing, Wu Zhanglin, Yang Hao, Peng Song and Tao Shimin
  DSEA-KoBE: Quality Estimation Based on Distantly Supervised Entity Alignment

Session 6

• Akio Kobayashi, Akira Hashimoto, Tetsuo Katsuragi and Takahiro Kawamura
  Recipe Recommendation for Health Care Using Food Functionality Knowledge Graph and Probabilistic Logic Programming.
• Cheng Deng, Jiaxin Ding, Luoyi Fu, Weinan Zhang, Xinbing Wang and Chenghu Zhou
  COVIDia: An Academic Knowledge Graph for COVID-19 Interdisciplinary Research
• Hiroki Uematsu and Hideaki Takeda
  Earthquake LOD: Seismic Dataset Construction with Ontology Oriented Design Patterns

Session 7

• Yizheng Zhao
  Metadata-Based Term Selection for Abstraction of OWL Ontologies
• Nhu Nguyen and Hideaki Takeda
  Exploring Cross-Language Differences in Wikidata-based Hyperlink Types for Enhanced Editorial Support on Wikipedia
• Yan Wu, Yu Liu, Tianyi Zhou, Qingzhe Guo, Feng Gao and Simon Gu
  Index Optimization of Extended Characteristic Set for Temporal RDF

Poster & Demo Track

• P-1 Chihiro Higuchi, Agustin Martin-Morales, Ai Oya, Mai Inoue, Misako Ikkai, Kenji Mizuguchi and Michihiro Araki
  Toward the Construction of a Knowledge Graph from Japanese Food Ontology for the Prevention of Frailty
• P-2 Yuki Momii, Tetsuya Takiguchi and Yasuo Ariki
  Rule-based Fact Verification utilizing Knowledge Graphs
• P-3 Atsuko Yamaguchi and Yasunori Yamamoto
  A Comparative Study on Storing and Retrieval of URIs for Life Sciences Databases
• P-4 Ryoga Nakagawa and Kouji Kozaki
  A Fundamental Evaluation of Candidate Answers Generation for Question Answering Using Wikidata
• P-5 Hirokazu Chiba
  Formatting SPARQL 1.1 via Parsing Expression Grammar
• D-1 Kunika Iida, Risa Kubo and Munehiko Sasajima
  A Framework to Improve Automobile Design Efficiency Using Functional Decomposition Trees and Ontologies
• D-2 Moe Fujii, Akiko Williamson and Munehiko Sasajima
  A study of evaluation methods for individual contribution in group work using a online tool for creating nursing care plan and pathological related diagram
• D-3 Aoi Hiraoka, Tomohiko Yamaguchi and Munehiko Sasajima
  An Application of Functional Decomposition Tree Technology to Collaborative Robot Introduction Manual for Non-Experts