EEKE-AII 2024
Joint Workshop of the 5th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2024) and the 4th AI + Informetrics (AII2024)

Table of Contents

• Preface to Joint Workshop of the 5th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2024) and the 4th AI + Informetrics (AII2024) 1-8
  Chengzhi Zhang, Yi Zhang, Philipp Mayr, Wei Lu, Arho Suominen, Haihua Chen, Ying Ding
  Summary: There were 46 papers submitted for peer-review to this workshop. Out of these, 25 papers were accepted for this volume, 4 as regular papers, 9 as short papers and, 9 as power talks.

Session 1: Technology Mining

• Technological Forecasting Based on Spectral Clustering for Word Frequency Time Series 9-23
  Han Huang, Xiaoguang Wang, Hongyu Wang
• Automated Identification of Emerging Technologies: Open Data Approach 24-33
  Ljiljana Dolamic, Julian Jang-Jaccard, Alain Mermoud, Vincent Lenders
• Technology Convergence Prediction From a Timeliness Perspective: An Improved Contribution Index in a Dynamic Network 34-39
  Jinzhu Zhang, Bing Yan
• A Research Topic Evolution Prediction Approach Based on Multiplex-graph Representation Learning 40-44
  Yang Zheng, Kaiwen Shi, Yuhang Dong, Xiaoguang Wang, Hongyu Wang
• Unveiling the Secret of Information Rediffusion Process on Social Media from Information Coupling Perspective: a Hybrid Approach of Machine Learning and Regression Model 45-50
  Zhen Yan, Rong Du, Hua Wang

Session 2: Entity & Relation Extraction

• Biomedical Relation Extraction via Domain Knowledge and Prompt Learning 51-59
  Jianyuan Yuan, Wei Du, Xiaoxia Liu, Yijia Zhang
• Identifying Scientific Problems and Solutions: Semantic Network Analytics and Deep Learning 60-71
  Lu Huang, Xiaoli Cao, Hang Ren, Chunze Zhang, Zhenxin Wu
• Material Performance Evolution Discovery Based on Entity Extraction and Social Circle Theory 72-79
  Jinzhu Zhang, Wenwen Sun
• Revealing the Country-level Preference on Research Methods in the Field of Digital Humanities: From the Perspective of Library and Information Science 80-84
  Chengxi Yan, Zhichao Fang
• LLM-Resilient Bibliometrics: Factual Consistency Through Entity Triplet Extraction 85-93
  Alexander Sternfeld, Andrei Kucharavy, Dimitri Percia David, Alain Mermoud, Julian Jang-Jaccard

Session 3: Power Talk

• How to Measure Information Cocoon in Academic Environment 94-98
  Jia Yuan, Guoxiu He, Yunhan Yang
• May Generative AI Be a Reviewer on an Academic Paper? 99-102
  Haichen Zhou, Xiaorong Huang, Hongjun Pu, Qi Zhang
• Research on the Identification of Breakthrough Technologies Driven by Science 103-105
  Dan Wang, Xiao Zhou, Pengwei Zhao, Juan Pang, Qiaoyang Ren
• Connector and Provincial Hub Dichotomy in Scientific Collaborations Identified by Reinforcement Learning Algorithm 106-108
  Feifan Liu, Shuang Zhang, Haoxiang Xia
• Research on Named Entity Recognition from Patent Texts with Local Large Language Model 109-111
  Chi Yu, Liang Chen, Haiyun Xu
• IRUGCN: A Graph Convolutional Network Rumor Detection Model Incorporating User Behavior 112-115
  Shu Zhou, Hao Wang, Zhengda Zhou, Haohan Yi, Bin Shi
• Identification of Core Technological Topics in the New Energy Vehicle Industry: The SAO-BERTopic Topic Modeling Approach Based on Patent Text Mining 116-119
  Jianxin Zhu, Yutong Chuang, Zhinan Wang, Yunke Li
• Research on Fine-grained S&T Entity Identification with Contextual Semantics in Think-Tank Text 120-123
  Mengge Sun, Yanpeng Wang, Yang Zhao
• Biomedical Association Inference on Pandemic Kowledge Graphs: A Comparative Study 124-127
  Mengjia Wu, Chao Yu, Jian Xu, Ying Ding, Yi Zhang

Session 4: AI for informetrics

• Understanding Citation Mobility in the Knowledge Space 128-133
  Shuang Zhang, Feifan Liu, Haoxiang Xia
• Relationship between Team Diversity and Innovation Performance in Interdisciplinary Research Teams within the Field of Artificial Intelligence: Decision Tree Analysis 134-140
  Junwan Liu, Chenchen Huang, Shuo Xu
• Understanding Partnership in Scientific Collaborations: A Preliminary Study from the Paper-level Perspective 141-144
  Chao Lu, Mengting Li, Chenyu Zhou
• Quantifying Scientific Novelty of Doctoral Theses with Bio-BERT Model 145-149
  Alex J. Yang, Yi Bu, Ying Ding, Meijun Liu
• Are Disruptive Patents Less Likely to be Granted? Analyzing Scientific Gatekeeping with USPTO Patent Data (2004-2018) 150-154
  Lihan Yan, Haochuan Cui, Cheng-Jun Wang
• Open-mentorship Team is Beneficial to Disruptive Ideas 155-158
  Bili Zheng, Wenjing Li, Jianhua Hou