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Advances in Knowledge Acquisition and Management

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

  • Conference proceedings
  • © 2006

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Editors:
  1. Achim Hoffmann

    1. School of Computer Science & Engineering, The University of New South Wales, Sydney, Australia

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  2. Byeong-ho Kang

    1. School of Computing, University of Tasmania, Tasmania, Australia

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  3. Debbie Richards

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

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  4. Shusaku Tsumoto

    1. Shimane University, Shimane, Japan

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

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

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Conference proceedings info: PKAW 2006.

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About this book

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.

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Table of contents (25 papers)

  1. Front Matter

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  2. Regular Papers

    1. Ontology and Knowledge Acquisition

      1. Visual Knowledge Annotation and Management by Using Qualitative Spatial Information
        • Pedro José Vivancos-Vicente, Jesualdo Tomás Fernández-Breis, Rodrigo Martínez-Béjar, Rafael Valencia-García
        Pages 1-12
      2. Ad-Hoc and Personal Ontologies: A Prototyping Approach to Ontology Engineering
        • Debbie Richards
        Pages 13-24
      3. Relating Business Process Models to Goal-Oriented Requirements Models in KAOS
        • George Koliadis, Aditya Ghose
        Pages 25-39

    2. Algorithm Approaches to Knowledge Acquisition

      1. Heuristic and Rule-Based Knowledge Acquisition: Classification of Numeral Strings in Text
        • Kyongho Min, Stephen MacDonell, Yoo-Jin Moon
        Pages 40-50
      2. RFID Tag Based Library Marketing for Improving Patron Services
        • Toshiro Minami
        Pages 51-63
      3. Extracting Discriminative Patterns from Graph Structured Data Using Constrained Search
        • Kiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio
        Pages 64-74
      4. Evaluating Learning Algorithms with Meta-learning Schemes for a Rule Evaluation Support Method Based on Objective Indices
        • Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Hideto Yokoi, Takahira Yamaguchi
        Pages 75-88
      5. Training Classifiers for Unbalanced Distribution and Cost-Sensitive Domains with ROC Analysis
        • Xiaolong Zhang, Chuan Jiang, Ming-jian Luo
        Pages 89-98
      6. Revealing Themes and Trends in the Knowledge Domain’s Intellectual Structure
        • Tsung Teng Chen, Maria R. Lee
        Pages 99-107

    3. Incremental Knowledge Acquisition and RDR

      1. Evaluation of the FastFIX Prototype 5Cs CARD System
        • Megan Vazey, Debbie Richards
        Pages 108-119
      2. Intelligent Decision Support for Medication Review
        • Ivan Bindoff, Peter Tenni, Byeong Ho Kang, Gregory Peterson
        Pages 120-131
      3. A Hybrid Browsing Mechanism Using Conceptual Scales
        • Mihye Kim, Paul Compton
        Pages 132-143

    4. Knowledge Acquisition and Applications

      1. Knowledge Representation for Video Assisted by Domain-Specific Ontology
        • Dan Song, Miyoung Cho, Chang Choi, Juhyun Shin, Jongan Park, Pankoo Kim
        Pages 144-155
      2. An Ontological Infrastructure for the Semantic Integration of Clinical Archetypes
        • 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. Improvement of Air Handling Unit Control Performance Using Reinforcement Learning
        • Sangjo Youk, Moonseong Kim, Yangsok Kim, Gilcheol Park
        Pages 168-176

    5. Machine Learning and Data Mining

      1. Optimizing Dissimilarity-Based Classifiers Using a Newly Modified Hausdorff Distance
        • Sang-Woon Kim
        Pages 177-186
      2. A New Model for Classifying DNA Code Inspired by Neural Networks and FSA
        • Byeong Kang, Andrei Kelarev, Arthur Sale, Ray Williams
        Pages 187-198
      3. Improvements on Common Vector Approach Using <i>k</i>-Clustering Method
        • Seohoon Jin, MyungWoo Nam, Sang-Tae Han
        Pages 199-206
      4. The Method for the Unknown Word Classification
        • Hyunjang Kong, Myunggwon Hwang, Pankoo Kim
        Pages 207-215
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Other volumes

  1. Advances in Knowledge Acquisition and Management

Editors and Affiliations

  • School of Computer Science & Engineering, The University of New South Wales, Sydney, Australia

    Achim Hoffmann

  • School of Computing, University of Tasmania, Tasmania, Australia

    Byeong-ho Kang

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

    Debbie Richards

  • Shimane University, Shimane, Japan

    Shusaku Tsumoto

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