Knowledge Management and Acquisition for Smart Systems and Services

11th International Workshop, PKAW 2010, Daegue, Korea, August 20 - September 3, 2010. Proceedings

  • Byeong-Ho Kang
  • Debbie Richards

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6232)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6232)

Table of contents

  1. Front Matter
  2. Machine Learning

    1. Tetsuya Yoshida, Kazuhiro Okatani
      Pages 1-13
    2. Dayong Ye, Minjie Zhang, Quan Bai, Takayuki Ito
      Pages 14-26
    3. Alejandro Rodríguez-González, Fernando Guldrís-Iglesias, Ricardo Colomo-Palacios, Juan Miguel Gomez-Berbis, Enrique Jimenez-Domingo, Giner Alor-Hernandez et al.
      Pages 27-37
  3. Data Mining

    1. Megumi Masuda, Shohei Kato, Hidenori Itoh
      Pages 49-60
    2. Nguyen Minh The, Takahiro Kawamura, Hiroyuki Nakagawa, Yasuyuki Tahara, Akihiko Ohsuga
      Pages 61-72
  4. Knowledge Engineering & Ontology

  5. Incremental Knowledge Acquisition

    1. Avishkar Misra, Arcot Sowmya, Paul Compton
      Pages 150-164
    2. Ivan Bindoff, Byeong Ho Kang
      Pages 180-194
    3. Richard Dazeley, Philip Warner, Scott Johnson, Peter Vamplew
      Pages 195-207
  6. KA Applications in Internet and Mobile Computing

    1. Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda, Kouzou Ohara
      Pages 208-222
    2. Tae-min Jung, Young-Seol Lee, Sung-Bae Cho
      Pages 223-234

About these proceedings

Introduction

th The 11 International Workshop on Knowledge Management and Acquisition for Smart Systems and Services (PKAW 2010) has provided a forum for the past two decades for researchers and practitioners working in the area of machine intelligence. PKAW covers a spectrum of techniques and approaches to implement smartness in IT applications. As evidenced in the papers in this volume, machine intelligence solutions incorporate many areas of AI such as ontological engineering, agent-based techn- ogy, robotics, image recognition and the Semantic Web as well as many other fields of computing such as software engineering, security, databases, the Internet, information retrieval, language technology and game technology. PKAW has evolved to embrace and foster advances in theory, practice and te- nology not only in knowledge acquisition and capture but all aspects of knowledge management including reuse, sharing, maintenance, transfer, merging, reconciliation, creation and dissemination. As many nations strive to be knowledge economies and organizations seek to maximize their knowledge assets and usage, solutions to handle the complex task of knowledge management are more important than ever. This v- ume contributes towards this goal. This volume seeks to disseminate the latest solutions from the International Wo- shop on Knowledge Management and Acquisition for Smart Systems and Services (PKAW 2010) held in Daegu, Korea during August 30–31, 2010 in conjunction with the Pacific Rim International Conference on Artificial Intelligence (PRICAI 2010).

Keywords

artificial intelligence data mining intelligence knowledge engineering knowledge management learning machine learning ontology

Editors and affiliations

  • Byeong-Ho Kang
    • 1
  • Debbie Richards
    • 2
  1. 1.School of Computing ad Information SystemsUniversity of TasmaniaLauncetonAustralia
  2. 2.Computing Department,Division of Information and Communication SciencesMacquarie UniversitySydneyAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-15037-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-15036-4
  • Online ISBN 978-3-642-15037-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book