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Knowledge Management and Acquisition for Smart Systems and Services

11th International Workshop, PKAW 2010, Daegue, Korea, August 30 - 31, 2010, Proceedings

  • Conference proceedings
  • © 2010

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Editors:
  1. Byeong-Ho Kang

    1. School of Computing ad Information Systems, University of Tasmania, Launceton, Australia

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    You can also search for this editor in PubMed   Google Scholar

  2. Debbie Richards

    1. Computing Department,Division of Information and Communication Sciences, Macquarie University, Sydney, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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

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

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Conference proceedings info: PKAW 2010.

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Table of contents (26 papers)

  1. Front Matter

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  2. Machine Learning

    1. A Graph-Based Projection Approach for Semi-supervised Clustering

      • Tetsuya Yoshida, Kazuhiro Okatani
      Pages 1-13

    2. Self-organisation in an Agent Network via Multiagent Q-Learning

      • Dayong Ye, Minjie Zhang, Quan Bai, Takayuki Ito
      Pages 14-26

    3. Improving Trading Systems Using the RSI Financial Indicator and Neural Networks

      • Alejandro Rodríguez-González, Fernando Guldrís-Iglesias, Ricardo Colomo-Palacios, Juan Miguel Gomez-Berbis, Enrique Jimenez-Domingo, Giner Alor-Hernandez et al.
      Pages 27-37

    4. Balanced Student Partitioning to Promote Effective Learning: Applications in an International School

      • Wenbin Zhu, Hu Qin, Andrew Lim, Zhou Xu
      Pages 38-48

  3. Data Mining

    1. Laban-Based Motion Rendering for Emotional Expression of Human Form Robots

      • Megumi Masuda, Shohei Kato, Hidenori Itoh
      Pages 49-60

    2. Self-supervised Mining of Human Activity from CGM

      • Nguyen Minh The, Takahiro Kawamura, Hiroyuki Nakagawa, Yasuyuki Tahara, Akihiko Ohsuga
      Pages 61-72

    3. Data Mining Using an Adaptive HONN Model with Hyperbolic Tangent Neurons

      • Shuxiang Xu
      Pages 73-81

    4. Business Intelligence for Delinquency Risk Management via Cox Regression

      • Sung Ho Ha, Eun Kyoung Kwon
      Pages 82-90

  4. Knowledge Engineering & Ontology

    1. An Ontology-Based Adaptive Learning System to Enhance Self-directed Learning

      • Mihye Kim, Sook-Young Choi
      Pages 91-102

    2. Context-Aware Service Framework for Decision-Support Applications Using Ontology-Based Modeling

      • Giovanni Cagalaban, Seoksoo Kim
      Pages 103-110

    3. A Disaster Management Metamodel (DMM) Validated

      • Siti Hajar Othman, Ghassan Beydoun
      Pages 111-125

    4. Another Investigation of an Interontologia between Chinese Lexical Systems and Roget’s Thesaurus

      • Sang-Rak Kim, Jae-Gun Yang, Jae-Hak J. Bae
      Pages 126-134

  5. Incremental Knowledge Acquisition

    1. Incremental Knowledge Acquisition Using Generalised RDR for Soccer Simulation

      • Angela Finlayson, Paul Compton
      Pages 135-149

    2. Incremental System Engineering Using Process Networks

      • Avishkar Misra, Arcot Sowmya, Paul Compton
      Pages 150-164

    3. RDRCE: Combining Machine Learning and Knowledge Acquisition

      • Han Xu, Achim Hoffmann
      Pages 165-179

    4. Simulated Assessment of Ripple Round Rules

      • Ivan Bindoff, Byeong Ho Kang
      Pages 180-194

    5. The Ballarat Incremental Knowledge Engine

      • Richard Dazeley, Philip Warner, Scott Johnson, Peter Vamplew
      Pages 195-207

  6. KA Applications in Internet and Mobile Computing

    1. Finding Relation between PageRank and Voter Model

      • Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda, Kouzou Ohara
      Pages 208-222

    2. Mobile Sync-application for Life Logging and High-Level Context Using Bayesian Network

      • Tae-min Jung, Young-Seol Lee, Sung-Bae Cho
      Pages 223-234
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  1. Knowledge Management and Acquisition for Smart Systems and Services

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About this book

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).

Editors and Affiliations

  • School of Computing ad Information Systems, University of Tasmania, Launceton, Australia

    Byeong-Ho Kang

  • Computing Department,Division of Information and Communication Sciences, Macquarie University, Sydney, Australia

    Debbie Richards

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