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  • Conference proceedings
  • © 2021

Knowledge Science, Engineering and Management

14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part I

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12815)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): KSEM: International Conference on Knowledge Science, Engineering and Management

Conference proceedings info: KSEM 2021.

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  • ISBN: 978-3-030-82136-4
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Table of contents (56 papers)

  1. Front Matter

    Pages i-xxvii
  2. Knowledge Science with Learning and AI (KSLA)

    1. Front Matter

      Pages 1-1
    2. Extracting Prerequisite Relations Among Wikipedia Concepts Using the Clickstream Data

      • Cheng Hu, Kui Xiao, Zesong Wang, Shihui Wang, Qifeng Li
      Pages 13-26
    3. Clustering Massive-Categories and Complex Documents via Graph Convolutional Network

      • Qingchao Zhao, Jing Yang, Zhengkui Wang, Yan Chu, Wen Shan, Isfaque Al Kaderi Tuhin
      Pages 27-39
    4. Structure-Enhanced Graph Representation Learning for Link Prediction in Signed Networks

      • Yunke Zhang, Zhiwei Yang, Bo Yu, Hechang Chen, Yang Li, Xuehua Zhao
      Pages 40-52
    5. A Property-Based Method for Acquiring Commonsense Knowledge

      • Ya Wang, Cungen Cao, Yuting Cao, Shi Wang
      Pages 53-65
    6. Multi-hop Learning Promote Cooperation in Multi-agent Systems

      • Xingyu Liu, Runyu Guan, Tao Wang, Le Han, Yu Qin, Yi Wang
      Pages 66-77
    7. Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification

      • Yubao Tang, Zhezhou Li, Cong Cao, Fang Fang, Yanan Cao, Yanbing Liu et al.
      Pages 101-114
    8. Community Detection in Dynamic Networks: A Novel Deep Learning Method

      • Fan Zhang, Junyou Zhu, Zheng Luo, Zhen Wang, Li Tao, Chao Gao
      Pages 115-127
    9. Additive Noise Model Structure Learning Based on Rank Statistics

      • Jing Yang, Gaojin Fan, Kai Xie, Qiqi Chen, Aiguo Wang
      Pages 128-139
    10. A MOOCs Recommender System Based on User’s Knowledge Background

      • Yibing Zhao, Wenjun Ma, Yuncheng Jiang, Jieyu Zhan
      Pages 140-153
    11. TEBC-Net: An Effective Relation Extraction Approach for Simple Question Answering over Knowledge Graphs

      • Jianbin Li, Ketong Qu, Jingchen Yan, Liting Zhou, Long Cheng
      Pages 154-165
    12. Representing Knowledge Graphs with Gaussian Mixture Embedding

      • Wenying Feng, Daren Zha, Xiaobo Guo, Yao Dong, Yuanye He
      Pages 166-178
    13. A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection

      • Ze Yin, Yue Deng, Fan Zhang, Zheng Luo, Peican Zhu, Chao Gao
      Pages 179-190
    14. Named Entity Recognition Based on Reinforcement Learning and Adversarial Training

      • Shi Peng, Yong Zhang, Yuanfang Yu, Haoyang Zuo, Kai Zhang
      Pages 191-202
    15. Improved Partitioning Graph Embedding Framework for Small Cluster

      • Ding Sun, Zhen Huang, Dongsheng Li, Xiangyu Ye, Yilin Wang
      Pages 203-215
    16. A Framework of Data Fusion Through Spatio-Temporal Knowledge Graph

      • Xiaohan Zhang, Xinning Zhu, Jie Wu, Zheng Hu, Chunhong Zhang
      Pages 216-228

About this book

This three-volume set constitutes the refereed proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021, held in Tokyo, Japan, in August 2021.

The 164 revised full papers were carefully reviewed and selected from 492 submissions. The contributions are organized in the following topical sections: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management with optimization and security.

Keywords

  • artificial intelligence
  • computer networks
  • computer science
  • computer systems
  • computer vision
  • databases
  • education
  • engineering
  • image processing
  • information retrieval
  • internet
  • knowledge-based system
  • learning
  • linguistics
  • machine learning
  • mathematics
  • network protocols
  • neural networks
  • semantics
  • signal processing

Editors and Affiliations

  • Tsinghua University, Beijing, China

    Han Qiu

  • Ibaraki University, Hitachi, Japan

    Cheng Zhang

  • University of Kentucky, Lexington, USA

    Zongming Fei

  • Texas A&M University – Commerce, Commerce, USA

    Meikang Qiu

  • Princeton University, Princeton, USA

    Sun-Yuan Kung

Bibliographic Information

Buying options

eBook USD 109.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-82136-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 139.99
Price excludes VAT (USA)