Advances in Knowledge Acquisition and Management : Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China, August 7-8, 2006, Revised Selected Papers / edited by Achim Hoffmann, Byeong-ho Kang, Debbie Richards, Shusaku Tsumoto.

Format:

Book

Contributor:

Hoffmann, Achim, editor.

Kang, Byeong-Ho, editor.

Richards, Debbie, editor.

Tsumoto, Shusaku, 1963- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 4303.

Lecture Notes in Artificial Intelligence ; 4303

Language:

English

Subjects (All):

Artificial intelligence.

Data mining.

Information storage and retrieval.

Application software.

Database management.

Pattern perception.

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Database Management.

Pattern Recognition.

Local Subjects:

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Database Management.

Pattern Recognition.

Physical Description:

1 online resource (XI, 264 pages).

Edition:

First edition 2006.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.

System Details:

text file PDF

Summary:

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.

Contents:

Regular Papers

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

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

Evaluation of the FastFIX Prototype 5Cs CARD System

Intelligent Decision Support for Medication Review

A Hybrid Browsing Mechanism Using Conceptual Scales

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

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

Regular Papers (6-8 Pages)

An Ontology Supported Approach to Learn Term to Concept Mapping

Building Corporate Knowledge Through Ontology Integration

Planning with Domain Rules Based on State-Independent Activation Sets

Elicitation of Non-functional Requirement Preference for Actors of Usecase from Domain Model

Enhancing Information Retrieval Using Problem Specific Knowledge

Acquiring Innovation Knowledge.

Other Format:

Printed edition:

ISBN:

978-3-540-68957-7

9783540689577

Access Restriction:

Restricted for use by site license.