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Knowledge Science, Engineering and Management

15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part I

  • Conference proceedings
  • © 2022

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Editors:
  1. Gerard Memmi

    1. Télécom Paris, Paris, France

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  2. Baijian Yang

    1. Purdue University, West Lafayette, USA

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  3. Linghe Kong

    1. Shanghai Jiao Tong University, Shanghai, China

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  4. Tianwei Zhang

    1. Nanyang Technological University, Singapore, Singapore

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  5. Meikang Qiu

    1. Texas A&M University – Commerce, Commerce, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13368)

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

Included in the following conference series:

Conference proceedings info: KSEM 2022.

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Table of contents (57 papers)

  1. Front Matter

    Pages i-xxviii
    Download chapter PDF

  2. Knowledge Science with Learning and AI (KSLA)

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Decoupled YOLOv5 with Deformable Convolution and Multi-scale Attention

      • Gui Yuan, Gang Liu, Jian Chen
      Pages 3-14

    3. OTE: An Optimized Chinese Short Text Matching Algorithm Based on External Knowledge

      • Haoyang Ma, Zhaoyun Ding, Zeyu Li, Hongyu Guo
      Pages 15-30

    4. KIR: A Knowledge-Enhanced Interpretable Recommendation Method

      • Yuejia Wu, Jiale Li, Jiantao Zhou
      Pages 31-43

    5. ICKEM: A Tool for Estimating One’s Understanding of Conceptual Knowledge

      • Gangli Liu
      Pages 44-57

    6. Cross-perspective Graph Contrastive Learning

      • Shiyang Lin, Chenhe Dong, Ying Shen
      Pages 58-70

    7. A Multi-scale Convolution and Gated Recurrent Unit Based Network for Limit Order Book Prediction

      • Borui Xu, Tong Zhang, Weiguo Liu
      Pages 71-84

    8. Pre-train Unified Knowledge Graph Embedding with Ontology

      • Tengwei Song, Jie Luo, Xiangyu Chen
      Pages 85-92

    9. Improving Dialogue Generation with Commonsense Knowledge Fusion and Selection

      • Dongjun Fu, Chunhong Zhang, Jibin Yu, Qi Sun, Zhiqiang Zhan
      Pages 93-108

    10. A Study of Event Multi-triple Extraction Methods Based on Edge-Enhanced Graph Convolution Networks

      • Yu Zhang, Yimeng Li, Chaomurilige, Yu Weng
      Pages 109-119

    11. Construction Research and Applications of Industry Chain Knowledge Graphs

      • Boyao Zhang, Zijian Wang, Haikuo Zhang, Yonghua Zhao, Jingqi Sun, Jing Wang
      Pages 120-132

    12. Query and Neighbor-Aware Reasoning Based Multi-hop Question Answering over Knowledge Graph

      • Biao Ma, Xiaoying Chen, Shengwu Xiong
      Pages 133-145

    13. Question Answering over Knowledge Graphs with Query Path Generation

      • Linqing Yang, Kecen Guo, Bo Liu, Jiazheng Gong, Zhujian Zhang, Peiyu Zhao
      Pages 146-158

    14. Improving Parking Occupancy Prediction in Poor Data Conditions Through Customization and Learning to Learn

      • Haohao Qu, Sheng Liu, Zihan Guo, Linlin You, Jun Li
      Pages 159-172

    15. Knowledge Concept Recommender Based on Structure Enhanced Interaction Graph Neural Network

      • Yu Ling, Zhilong Shan
      Pages 173-186

    16. Answering Complex Questions on Knowledge Graphs

      • Xin Wang, Min Luo, Chengliang Si, Huayi Zhan
      Pages 187-200

    17. Multi-attention User Information Based Graph Convolutional Networks for Explainable Recommendation

      • Ruixin Ma, Guangyue Lv, Liang Zhao, Yunlong Ma, Hongyan Zhang, Xiaobin Liu
      Pages 201-213

    18. Edge-Shared GraphSAGE: A New Method of Buffer Calculation for Parallel Management of Big Data Project Schedule

      • Yawei Zhao, Yangyuanxiang Xu, Zhiwei Wang
      Pages 214-226

    19. Tackling Solitary Entities for Few-Shot Knowledge Graph Completion

      • Yi Liang, Shuai Zhao, Bo Cheng, Yuwei Yin, Hao Yang
      Pages 227-239
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Other volumes

  1. Knowledge Science, Engineering and Management

  2. Knowledge Science, Engineering and Management

  3. Knowledge Science, Engineering and Management

Keywords

About this book

The three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6–8, 2022. 


The 169 full papers presented in these proceedings were carefully reviewed and selected from 498 submissions. The papers are organized in the following topical sections:


Volume I: 
Knowledge Science with Learning and AI (KSLA)

Volume II: 
Knowledge Engineering Research and Applications (KERA)


Volume III: 
Knowledge Management with Optimization and Security (KMOS)


Editors and Affiliations

  • Télécom Paris, Paris, France

    Gerard Memmi

  • Purdue University, West Lafayette, USA

    Baijian Yang

  • Shanghai Jiao Tong University, Shanghai, China

    Linghe Kong

  • Nanyang Technological University, Singapore, Singapore

    Tianwei Zhang

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

    Meikang Qiu

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