知识获得和管理的进展LNCS-4303

　　This book constitutes the thoroughly refereed post-proceedings of the 2006 Pacific Rim Knowledge Acquisition Workshop， PKAW 2006， held in Guilin， China in August 2006 as part of 9th Pacific Rim International Conference on Artificial Intelligence， PRICAI 2006.The 21 revised full papers and 6 revised short papers presented together with 4 invited talks were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections on ontology and knowledge acquisition， algorithm approaches to knowledge acquisition， incremental knowledge acquisition and RDR， knowledge acquisition and applications， as well as machine learning and data mining.

暂缺《知识获得和管理的进展LNCS-4303》作者简介

PART I: Regular Papers
Ontology and Knowledge Acquisition
　　Visual Knowledge Annotation and Management by Using Qualitative　Spatial Information
　　Ad-Hoc and Personal Ontologies: A Prototyping Approach to Ontology　Engineering
　　Relating Business Process Models to Goal-Oriented Requirements　Models in KAOS
　Algorithm Approaches to Knowledge Acquisition
　　Heuristic and Rule-Based Knowledge Acquisition: Classification　of Numeral Strings in Text
　　RFID Tag Based Library Marketing for Improving Patron Services
　　Extracting Discriminative Patterns from Graph Structured Data Using　Constrained Search
　　Evaluating Learning Algorithms with Meta-learning Schemes for a Rule　Evaluation Support Method Based on Objective Indices　
　　Training Classifiers for Unbalanced Distribution and Cost-Sensitive　Domains with ROC Analysis
　　Revealing Themes and Trends in the Knowledge Domain's Intellectual　Structure
　Incremental Knowledge Acquisition and RDR
　　Evaluation of the FastFIX Prototype 5Cs CARD System
　　Intelligent Decision Support for Medication Review
　　A Hybrid Browsing Mechanism Using Conceptual Scales
　Knowledge Acquisition and Applications
　　Knowledge Representation for Video Assisted by Domain-Specific　Ontology
　　An Ontological Infrastructure for the Semantic Integration of Clinical　Archetypes
　　Improvement of Air Handling Unit Control Performance Using　Reinforcement Learning
　Machine Learning and Data Mining
　　Optimizing Dissimilarity-Based Classifiers Using a Newly Modified　Hausdorff Distance
　　A New Model for Classifying DNA Code Inspired by Neural Networks　and FSA
　　Improvements on Common Vector Approach Using k-Clustering　Method
　　The Method for the Unknown Word Classification
PART II:Regular Papers(6-8Pages)
Author Index