Vol-2871
urn:nbn:de:0074-2871-7

Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

AII 2021
AI + Informetrics

Proceedings of the 1st Workshop on AI + Informetrics (AII2021) co-located with the iConference 2021

Virtual Event, March 17th, 2021.

Edited by

Yi Zhang *
Chengzhi Zhang
Philipp Mayr *
Arho Suominen ****

* University of Technology Sydney, Australia
** Nanjing University of Science and Technology, China
*** GESIS - Leibniz-Institute for the Social Sciences, Germany
**** VTT Technical Research Centre, Finland

Table of Contents

Preface to the 1st Workshop on AI + Informetrics: Multi-disciplinary Interactions on the Era of Big Data 1-5
Summary: There were 25 papers submitted for peer-review to this workshop. Out of these, 17 papers were accepted for this volume, 12 as regular papers and 5 as short papers.

Session 1: AI + Informetrics for Scholarly Recommendation

Research on Heterogeneous Enhanced Network Embedding for Cooperation Prediction 6-24
Xin Zhang, Yi Wen, Haiyun Xu
Embedding-based Neural Network Models for Book Recommendation in University Libraries 25-32
Jaeyoung Choi, Chaeeun Han, Heeyoon Yang, Yeonkyoung Hong, Seoyoung Jeon, Yongjun Zhu
Collaboration and Knowledge Networks: a Framework on Analyzing Evolution of University-industry Collaborative Innovation 33-46
Hongshu Chen, Xinna Song
Recommendation of Academic Collaborators: A Methodology Incorporating Word Embedding and Network Embedding (short paper) 47-57
Xiaowen Xi, Ying Guo, Weiyu Duan

Session 2: AI + Informetrics for Knowledge Extraction

Extraction of Sentences Describing Originality from Conclusion in Academic Papers 58-70
Bolin Hua, Youngkug Shin
Building the Extraction Model of the Software Entities from Full-Text of Research Articles Based on BERT 71-90
Chuan Jiang, Dongbo Wang, Si Shen, Wenhao Ye, Jiangfeng Liu
Automatic Identification and Classification of Integrated Knowledge Content in an Interdisciplinary Field: A Case Study on eHealth(short paper) 91-100
Shiyun Wang, Jin Mao, Hao Xie
Automatic Related Work Section Generation by Sentence Extraction and Reordering (short paper) 101-110
Zekun Deng, Zixin Zeng, Weiye Gu, Jiawen Ji, Bolin Hua

Session 3: AI + Informetrics for Information Studies

Text Mining on Job Advertisement Data: Systematic Process for Detecting Artificial Intelligence Related Jobs 111-124
Asta Back, Arash Hajikhani, Arho Suominen
Attention: to Better Stand on the Shoulders of Giants 125-139
Sha Yuan, Zhou Shao, Yu Zhang, Tong Xiao, Yifan Wang
Measuring Interdisciplinary Interactions Using Citation Analysis and Semantic Analysis 140-152
Lu Huang, Xingxing Ni, Xiang Chen, Yi Zhang
Study Concept Drift in 150-year English Literature(short paper) 153-163
Ruiyuan Li, Pin Tian, Shenghui Wang

Session 4: AI + Informetrics for Science, Technology & Innovation

Important Citations Identification with Semi-supervised Classification Model 164-170
Xin An, Xin Sun, Shuo Xu
Emerging Technology Opportunity Identification Based on Community Detection and Burst Detection: A Case study of Intelligent Robots 171-182
Jingwen Luo, Fang Zou, Yu Zhang, Ying Huang
The Interrelation of Sustainable Development Goals in Publications and Patents: A Machine Learning Approach 183-193
Arash Hajikhani, Arho Suominen
Research Performance Prediction for Scientists Using LSTM Neural Networks (short paper) 194-201
Junwan Liu, Rui Wang
ITGInsight - Discovering and Visualizing Science, Technology and Innovation Information for Generating Competitive Technological Intelligence 202-219
Xuefeng Wang, Shuo Zhang, Yuqin Liu

2021-05-19: submitted by Yi Zhang, metadata incl. bibliographic data published under Creative Commons CC0
2021-05-30: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|