Foundations of Intelligent Systems: 14th International Symposium, ISMIS 2003, Maebashi City, Japan, October 28-31, 2003, Proceedings.

This volume contains the papers selected for presentation at the 14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003, held in Maebashi City, Japan, 28–31 October, 2003. The symposium was organized by the Maebashi Institute of Technology in co-operation with the Japanese Society for Artificial Intelligence. It was sponsored by the Maebashi Institute of Technology, Maebashi Convention Bureau, Maebashi City Government, Gunma Prefecture Government, US AFOSR/AOARD, the Web Intelligence Consortium (Japan), Gunma Information Service Industry Association, and Ryomo Systems Co., Ltd. ISMIS is a conference series that was started in 1986 in Knoxville, Tennessee. Since then it has been held in Charlotte (North Carolina), Knoxville (Tennessee), Turin (Italy), Trondheim (Norway), Warsaw (Poland), Zakopane (Poland), and Lyon (France). The program committee selected the following major areas for ISMIS 2003: active media human-computer interaction, autonomic and evolutionary computation, intelligent agent technology, intelligent information retrieval, intelligent information systems, knowledge representation and integration, knowledge discovery and data mining, logic for artificial intelligence, soft computing, and Web intelligence.

Invited Papers.- New Challenges in the World Wide Wisdom Web (W4) Research.- Grounding to the Real World – Architecture for Ubiquitous Computing –.- Data Mining: Fast Algorithms vs. Fast Results.- Knowledge Discovery Services and Tools on Grids.- Regular Papers.- Space Decomposition in Data Mining: A Clustering Approach.- Time Series Rule Discovery: Tough, Not Meaningless.- Mining Diagnostic Rules with Taxonomy from Medical Databases.- Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes.- Goodness-of-Fit Measures for Induction Trees.- PDL with Maximum Consistency Monitors.- Comparing and Merging Ontologies: A Concept Type Hierarchy Approach.- Integrating Information under Lattice Structure.- Functional Ontology for Intelligent Instruments.- Constructing an Ontology Based on Hub Words.- Integration of Heterogeneous, Imprecise and Incomplete Data: An Application to the Microbiological Risk Assessment.- Intelligent Protein 3D Structure Retrieval System.- Cognitive Vision Systems in Medical Applications.- An Automated School Timetabling System Using Hybrid Intelligent Techniques.- Representing Audio Data by FS-Trees and Adaptable TV-Trees.- A Framework of Rough Sets Based Rule Generation in Non-deterministic Information Systems.- Granular Computing Based on Rough Sets, Quotient Space Theory, and Belief Functions.- Searching for the Complex Decision Reducts: The Case Study of the Survival Analysis.- Clustering Supermarket Customers Using Rough Set Based Kohonen Networks.- Multi-rough Sets and Generalizations of Contexts in Multi-contexts Information System.- MetaNews: An Information Agent for Gathering News Articles on the Web.- Enacting an Agent-Based Digital Self in a 24x7 Web Services World.- Light-Weight Agents for E-learning Environments.- Towards a Pragmatic Methodology for Open Multi-agent Systems.- Using Similarity to Implement Distributed Ubiquitous Software Services.- MIC: Algebraic Agent Environment.- Using the SPACE Intermediate Model to Help to Implement Agents.- Belief Revision and Text Mining for Adaptive Recommender Agents.- NETMARK: A Schema-Less Extension for Relational Databases for Managing Semi-structured Data Dynamically.- Program Generation for Application Domain Users by Selecting Model Candidates.- Traffic Sign Recognition in Disturbing Environments.- Design Patterns in Intelligent Systems.- Temporal Feature Extraction from Temporal Information Systems.- Parallel Ant Colony Systems.- Some Case-Refinement Strategies for Case-Based Criminal Summary Judgments.- G-STRIPS – A Generalized STRIPS System for Handling State Change over Dynamic Domains.- Classifying Document Titles Based on Information Inference.- Building Topic Maps Using a Text Mining Approach.- Improving the Performance of Text Classifiers by Using Association Features.- Korean Document Summarization Using Topic Phrases Extraction and Locality-Based Similarity.- Improving Naïve Bayes Text Classifier with Modified EM Algorithm.- Mining Environmental Texts of Images in Web Pages for Image Retrieval.- Towards a Contextual Content of Ontologies.- An Email Classifier Based on Resemblance.- The Characterization on the Uniqueness of Answer Set for Prioritized Logic Programs.- A New Approach to Constraint Inductive Logic Programming.- Extending the CLP Engine for Reasoning under Uncertainty.- Logic for Multi-path Message Forwarding Networks for Mobile Agents.- ?-Subsumption and Resolution: A New Algorithm.- Supporting E-consent on Health Data by Logic.- Towards the Theory of Relaxed Unification.- Probability Logic Modeling of Knowledge Discovery in Databases.- Constructing Extensions of Bayesian Classifiers with Use of Normalizing Neural Networks.- Fuzzy Multiset Model for Information Retrieval and Clustering Using a Kernel Function.- Validation of Fuzzy Partitions Obtained through Fuzzy C-Means Clustering.- Generating Fuzzy Thesaurus by Degree of Similarity in Fuzzy Covering.- Design of Iconic Language Interface for Semantic Based Korean Language Generation.- Incremental Feature Extraction Based on Empirical Kernel Map.- On Lookahead Heuristics in Decision Tree Learning.- Empirical Evaluation of Dissimilarity Measures for Time-Series Multiscale Matching.- First-Order Rules Mining Guided by Information Gain.- Simultaneous Row and Column Partitioning: Evaluation of a Heuristic.- Partial Prefix Sum Method for Large Data Warehouses.- Spatio-Temporal Association Mining for Un-sampled Sites.- Development of Generic Search Method Based on Transformation Invariance.- Hierarchical Ordering for Approximate Similarity Ranking.- Space Transformation Based Approach for Effective Content-Based Image Retrieval.- Collaborative Filtering – Safe and Sound?.- RNA Structure as Permutation: A GA Approach Comparing Different Genetic Sequencing Operators.- Evolutionary Computation for Optimal Ensemble Classifier in Lymphoma Cancer Classification.- Floorplan Design Using Improved Genetic Algorithm.- Some Enhancements in Genetic Learning: A Case Study on Initial Population.- Comparing Hierarchical Markov Networks and Multiply Sectioned Bayesian Networks.- Constraint Propagation to Semantic Web Services Discovery.- Reasoning in Data Integration Systems: Why LAV and GAV Are Siblings.- Design of an Adaptive Web Merchandising System Using Data Mining.- Minutiae Extraction from Fingerprint Images Using Run-Length Code.- Endpoint Detection of Isolated Korean Utterances for Bimodal Speech Recognition in Acoustic Noisy Environments.- Enhanced Active Shape Models with Global Texture Constraints for Image Analysis.- Discovering Structures in Video Databases.- Theoretical Evaluation of Ring-Based Architectural Model for Middle Agents in Agent-Based System.- Multi-attributes-Based Negotiation Agent and E-marketplace in Customer-to-Customer Electronic Commerce.- A Feature Analysis Framework for Evaluating Multi-agent System Development Methodologies.- Decentralized Control.- An Intelligent Agent for Automatic Course Adaptation.- An Exploration of Bugs and Debugging in Multi-agent Systems.- A Framework for Building Competency-Based Systems Dedicated to Human Resource Management.- Extracting the Most Discriminant Subset from a Pool of Candidates to Optimize Discriminant Classifier Training.- Knowledge Engineering of Intelligent Sales-Recruitment System Using Multi-layered Agent Methodology.- The KAMET II Methodology: A Modern Approach for Building Diagnosis-Specialized Knowledge-Based Systems.- A Formal Approach to Describing Action Concepts in Taxonomical Knowledge Bases.- An Efficient Algorithm for Computing Core Attributes in Database Systems.- Similarity Graphs.- Image-Based Flame Control of a Premixed Gas Burner Using Fuzzy Logics.- Intelligent Pattern Recognition by Feature Selection through Combined Model of DWT and ANN.- Applying Neural Networks to Study the Mesoscale Variability of Oceanic Boundary Currents.- Dialog Planning and Domain Knowledge Modeled in Terms of Tasks and Methods: A Flexible Framework for Dialog Managing.