Advances in Knowledge Acquisition and Management

Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China, August 7-8, 2006, Revised Selected Papers

  • Achim Hoffmann
  • Byeong-ho Kang
  • Debbie Richards
  • Shusaku Tsumoto
Conference proceedings PKAW 2006

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4303)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 4303)

Table of contents

  1. Front Matter
  2. Regular Papers

    1. Ontology and Knowledge Acquisition

      1. Pedro José Vivancos-Vicente, Jesualdo Tomás Fernández-Breis, Rodrigo Martínez-Béjar, Rafael Valencia-García
        Pages 1-12
    2. Algorithm Approaches to Knowledge Acquisition

      1. Kiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio
        Pages 64-74
      2. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Hideto Yokoi, Takahira Yamaguchi
        Pages 75-88
    3. Incremental Knowledge Acquisition and RDR

      1. Megan Vazey, Debbie Richards
        Pages 108-119
      2. Ivan Bindoff, Peter Tenni, Byeong Ho Kang, Gregory Peterson
        Pages 120-131
      3. Mihye Kim, Paul Compton
        Pages 132-143
    4. Knowledge Acquisition and Applications

      1. Dan Song, Miyoung Cho, Chang Choi, Juhyun Shin, Jongan Park, Pankoo Kim
        Pages 144-155
      2. Jesualdo Tomás Fernández-Breis, Marcos Menárguez-Tortosa, David Moner, Rafael Valencia-García, José Alberto Maldonado, Pedro José Vivancos-Vicente et al.
        Pages 156-167
      3. Sangjo Youk, Moonseong Kim, Yangsok Kim, Gilcheol Park
        Pages 168-176
    5. Machine Learning and Data Mining

      1. Byeong Kang, Andrei Kelarev, Arthur Sale, Ray Williams
        Pages 187-198
      2. Seohoon Jin, MyungWoo Nam, Sang-Tae Han
        Pages 199-206
      3. Hyunjang Kong, Myunggwon Hwang, Pankoo Kim
        Pages 207-215

About these proceedings

Introduction

Since knowledge was recognized as a crucial part of intelligent systems in the 1970s and early 1980s, the problem of the systematic and efficient acquisition of knowledge was an important research problem. In the early days of expert systems, the focus of knowledge acquisition was to design a suitable knowledge base for the problem - main by eliciting the knowledge from available experts before the system was c- pleted and deployed. Over the years, alternative approaches were developed, such as incremental approaches which would build a provisional knowledge base initially and would improve the knowledge base while the system was used in practice. Other approaches sought to build knowledge bases fully automatically by employing machine-learning methods. In recent years, a significant interest developed regarding the problem of constructing ontologies. Of particular interest have been ontologies that could be re-used in a number of ways and could possibly be shared across diff- ent users as well as domains. The Pacific Knowledge Acquisition Workshops (PKAW) have a long tradition in providing a forum for researchers to exchange the latest ideas on the topic. Parti- pants come from all over the world but with a focus on the Pacific Rim region. PKAW is one of three international knowledge acquisition workshop series held in the Pacific-Rim, Canada and Europe over the last two decades. The previous Pacific Knowledge Acquisition Workshop, PKAW 2004, had a strong emphasis on inc- mental knowledge acquisition, machine learning, neural networks and data mining.

Keywords

algorithms artificial intelligence data mining intelligence learning machine learning ontology

Editors and affiliations

  • Achim Hoffmann
    • 1
  • Byeong-ho Kang
    • 2
  • Debbie Richards
    • 3
  • Shusaku Tsumoto
    • 4
  1. 1.School of Computer Science & EngineeringThe University of New South WalesSydneyAustralia
  2. 2.School of ComputingUniversity of TasmaniaTasmaniaAustralia
  3. 3.Computing Department, Division of Information and Communication SciencesMacquarie UniversitySydneyAustralia
  4. 4.Shimane UniversityShimaneJapan

Bibliographic information

  • DOI https://doi.org/10.1007/11961239
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-68955-3
  • Online ISBN 978-3-540-68957-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book