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Knowledge Management and Acquisition for Intelligent Systems

16th Pacific Rim Knowledge Acquisition Workshop, PKAW 2019, Cuvu, Fiji, August 26–27, 2019, Proceedings

  • Kouzou Ohara
  • Quan Bai
Conference proceedings PKAW 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11669)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11669)

Table of contents

  1. Front Matter
    Pages i-x
  2. Dongliang Ma, Haipeng Zhang, Hao Wu, Tao Zhang, Jun Sun
    Pages 1-9
  3. Ghaith Dekhili, Ngoc Tan Le, Fatiha Sadat
    Pages 10-20
  4. Maria R. Lee, Anna Yu-Ju Yen, Lun Chang
    Pages 21-31
  5. Hoang Huu Viet, Nguyen Thi Uyen, Pham Tra My, Son Thanh Cao, Le Hong Trang
    Pages 44-53
  6. Mengyan Wang, Weihua Li, Yan Kong, Quan Bai
    Pages 54-65
  7. Mira Park, Wenli Yang, Zehong Cao, Byeong Kang, Damian Connor, Mary-Anne Lea
    Pages 66-80
  8. Hiroshi Uehara, Akihiro Ito, Yutaka Saito, Kenichi Yoshida
    Pages 115-126
  9. David Herbert, Byeong Kang
    Pages 127-141
  10. Abdul Karim, Jaspreet Singh, Avinash Mishra, Abdollah Dehzangi, M. A. Hakim Newton, Abdul Sattar
    Pages 142-152
  11. Yuxuan Hu, Quan Bai, Weihua Li
    Pages 153-162
  12. Chenliang Li, Donghai Guan, Weiwei Yuan
    Pages 163-172
  13. Naoki Kobayakawa, Kenichi Yoshida
    Pages 173-183
  14. Sara Todorovikj, Paulina Friemann, Marco Ragni
    Pages 184-194
  15. Back Matter
    Pages 195-195

About these proceedings

Introduction

This book constitutes the proceedings of the 16th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2019, held in Cuvu, Fiji, in August 2019.

The 9 full papers and 7 short papers included in this volume were carefully reviewed and selected from 38 initial submissions. The papers cover advanced research work that contributes to the technical and theoretical aspects in the fields of intelligent systems/agents, natural language processing, and applications of machine learning techniques including Deep Learning to real world problems.

Keywords

artificial intelligence clustering computer architecture computer networks data mining natural language processing semantics social networks

Editors and affiliations

  1. 1.Aoyama Gakuin UniversityTokyoJapan
  2. 2.University of TasmaniaTasmaniaAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-30639-7
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-30638-0
  • Online ISBN 978-3-030-30639-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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