Advances In Knowledge Acquisition And Management: Pacific Rim Knowledge Acquisition Workshop, Pkaw 2006, Guilin, China, August 7-8, 2006, Revised Selected Papers (lecture Notes In Computer Science)

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. Front Matter....Pages - Knowledge Representation for Video Assisted by Domain-Specific Ontology....Pages 144-155 An Ontological Infrastructure for the Semantic Integration of Clinical Archetypes....Pages 156-167 Improvement of Air Handling Unit Control Performance Using Reinforcement Learning....Pages 168-176 Optimizing Dissimilarity-Based Classifiers Using a Newly Modified Hausdorff Distance....Pages 177-186 A New Model for Classifying DNA Code Inspired by Neural Networks and FSA....Pages 187-198 Improvements on Common Vector Approach Using k -Clustering Method....Pages 199-206 The Method for the Unknown Word Classification....Pages 207-215 Visual Knowledge Annotation and Management by Using Qualitative Spatial Information....Pages 1-12 Ad-Hoc and Personal Ontologies: A Prototyping Approach to Ontology Engineering....Pages 13-24 Relating Business Process Models to Goal-Oriented Requirements Models in KAOS....Pages 25-39 Heuristic and Rule-Based Knowledge Acquisition: Classification of Numeral Strings in Text....Pages 40-50 RFID Tag Based Library Marketing for Improving Patron Services....Pages 51-63 Extracting Discriminative Patterns from Graph Structured Data Using Constrained Search....Pages 64-74 Evaluating Learning Algorithms with Meta-learning Schemes for a Rule Evaluation Support Method Based on Objective Indices....Pages 75-88 Training Classifiers for Unbalanced Distribution and Cost-Sensitive Domains with ROC Analysis....Pages 89-98 Revealing Themes and Trends in the Knowledge Domain’s Intellectual Structure....Pages 99-107 Evaluation of the FastFIX Prototype 5Cs CARD System....Pages 108-119 Intelligent Decision Support for Medication Review....Pages 120-131 A Hybrid Browsing Mechanism Using Conceptual Scales....Pages 132-143 An Ontology Supported Approach to Learn Term to Concept Mapping....Pages 216-222 Building Corporate Knowledge Through Ontology Integration....Pages 223-229 Planning with Domain Rules Based on State-Independent Activation Sets....Pages 230-237 Elicitation of Non-functional Requirement Preference for Actors of Usecase from Domain Model....Pages 238-243 Enhancing Information Retrieval Using Problem Specific Knowledge....Pages 244-251 Acquiring Innovation Knowledge....Pages 252-257 Back Matter....Pages - 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 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. It Covers Ontology And Knowledge Acquisition, Algorithm Approaches To Knowledge Acquisition, Incremental Knowledge Acquisition And Rdr, As Well As Machine Learning And Data Mining.