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  • Conference proceedings
  • © 2022

Knowledge Science, Engineering and Management

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

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)

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

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Conference proceedings info: KSEM 2022.

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  • ISBN: 978-3-031-10983-6
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Table of contents (56 papers)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
    2. OTE: An Optimized Chinese Short Text Matching Algorithm Based on External Knowledge

      • Haoyang Ma, Zhaoyun Ding, Zeyu Li, Hongyu Guo
      Pages 15-30
    3. KIR: A Knowledge-Enhanced Interpretable Recommendation Method

      • Yuejia Wu, Jiale Li, Jiantao Zhou
      Pages 31-43
    4. Cross-perspective Graph Contrastive Learning

      • Shiyang Lin, Chenhe Dong, Ying Shen
      Pages 58-70
    5. Pre-train Unified Knowledge Graph Embedding with Ontology

      • Tengwei Song, Jie Luo, Xiangyu Chen
      Pages 85-92
    6. Improving Dialogue Generation with Commonsense Knowledge Fusion and Selection

      • Dongjun Fu, Chunhong Zhang, Jibin Yu, Qi Sun, Zhiqiang Zhan
      Pages 93-108
    7. Construction Research and Applications of Industry Chain Knowledge Graphs

      • Boyao Zhang, Zijian Wang, Haikuo Zhang, Yonghua Zhao, Jingqi Sun, Jing Wang
      Pages 120-132
    8. Question Answering over Knowledge Graphs with Query Path Generation

      • Linqing Yang, Kecen Guo, Bo Liu, Jiazheng Gong, Zhujian Zhang, Peiyu Zhao
      Pages 146-158
    9. Answering Complex Questions on Knowledge Graphs

      • Xin Wang, Min Luo, Chengliang Si, Huayi Zhan
      Pages 187-200
    10. 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
    11. Tackling Solitary Entities for Few-Shot Knowledge Graph Completion

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

Other Volumes

  1. Knowledge Science, Engineering and Management

    15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part I
  2. Knowledge Science, Engineering and Management

    15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part II
  3. Knowledge Science, Engineering and Management

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

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)

Keywords

  • artificial intelligence
  • computational linguistics
  • computer networks
  • computer systems
  • data mining
  • databases
  • directed graphs
  • graphic methods
  • image processing
  • information retrieval
  • knowledge-based system
  • machine learning
  • natural language processing
  • network protocols
  • neural networks
  • NLP
  • signal processing
  • theoretical computer science
  • weighted graph

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

Bibliographic Information

Buying options

eBook USD 89.00
Price excludes VAT (USA)
  • ISBN: 978-3-031-10983-6
  • 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 119.99
Price excludes VAT (USA)