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Knowledge Science, Engineering and Management

17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part IV

  • Conference proceedings
  • Aug 2024


Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14887)

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

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About this book

The five-volume set LNCS 14884, 14885, 14886, 14887 & 14888 constitutes the refereed deadline proceedings of the 17th International Conference on Knowledge Science, Engineering and Management, KSEM 2024, held in Birmingham, UK, during August 16–18, 2024.

The 160 full papers presented in these proceedings were carefully reviewed and selected from 495 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)

Volume IV: Emerging Technology

Volume V: Special Tracks


  • knowledge science
  • knowledge representation
  • reasoning
  • knowledge metrics
  • machine learning
  • artificial intelligentce
  • ontologies
  • Knowledge engineering
  • Knowledge discovery
  • Conceptual modelling
  • Knowledge Management
  • Knowledge verification
  • Blockchain
  • smart knowledge
  • resource optimizatio
  • knowledge graphs
  • construction
  • embedding
  • dissemination
  • adaptation

Editors and Affiliations

  • Chinese Academy of Sciences, Beijing, China

    Cungeng Cao

  • Zhejiang University, Zhejiang, China

    Huajun Chen

  • Emory University, Atlanta, USA

    Liang Zhao

  • Birmingham City University, Birmingham, United Kingdom

    Junaid Arshad, Yonghao Wang

  • Monash University, Banten, Indonesia

    Taufiq Asyhari

Bibliographic Information

  • Book Title: Knowledge Science, Engineering and Management

  • Book Subtitle: 17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part IV

  • Editors: Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang

  • Series Title: Lecture Notes in Computer Science

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024

  • Softcover ISBN: 978-981-97-5500-4Due: 02 September 2024

  • eBook ISBN: 978-981-97-5501-1Due: 02 September 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 451

  • Number of Illustrations: 10 b/w illustrations, 137 illustrations in colour

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