Knowledge-Based Intelligent Information and Engineering Systems

2.1 Text Summarization "Text summarization is the process of distilling the most important information from a source (or sources) to produce an abridged version for a particular user (or users) and task (or tasks)" [3]. Basic and classical articles in text summarization appear in "Advances in automatic text summarization" [3]. A literature survey on information extraction and text summarization is given by Zechner [7]. In general, the process of automatic text summarization is divided into three stages: (1) analysis of the given text, (2) summarization of the text, (3) presentation of the summary in a suitable output form. Titles, abstracts and keywords are the most common summaries in Academic papers. Usually, the title, the abstract and the keywords are the first, second, and third parts of an Academic paper, respectively. The title usually describes the main issue discussed in the study and the abstract presents the reader a short description of the background, the study and its results. A keyword is either a single word (unigram), e.g.: 'learning', or a collocation, which means a group of two or more words, representing an important concept, e.g.: 'machine learning', 'natural language processing'. Retrieving collocations from text was examined by Smadja [5] and automatic extraction of collocations was examined by Kita et al. [1].

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Keynote Lectures.- Distributed Prediction and Hierarchical Knowledge Discovery by ARTMAP Neural Networks.- The Brain's Cognitive Dynamics: The Link between Learning, Attention, Recognition, and Consciousness.- Adaptive Data Based Modelling and Estimation with Application to Real Time Vehicular Collision Avoidance.- Creating a Smart Virtual Personality.- Intelligent Navigation on the Mobile Internet.- The Evolution of Evolutionary Computation.- General Session Papers.- A Unified Model Maintains Knowledge Base Integrity.- Formal Argumentation Frameworks for the Extended Generalized Annotated Logic Programs.- Specifying and Validating Reactive Systems with CommonKADS Methodology.- TMMT: Tool Supporting Knowledge Modelling.- State-Based Planning with Numerical Knowledge.- KAMET II: An Extended Knowledge-Acquisition Methodology.- Automated Knowledge Acquisition by Relevant Reasoning Based on Strong Relevant Logic.- ConcepTool: Intelligent Support to the Management of Domain Knowledge.- Combining Revision Production Rules and Description Logics.- Knowledge Support for Modeling and Simulation.- Expert System for Simulating and Predicting Sleep and Alertness Patterns.- Two Expert Diagnosis Systems for SMEs: From Database-Only Technologies to the Unavoidable Addition of AI Techniques.- Using Conceptual Decision Model in a Case Study.- Automated Knowledge Acquisition Based on Unsupervised Neural Network and Expert System Paradigms.- Selective-Learning-Rate Approach for Stock Market Prediction by Simple Recurrent Neural Networks.- A Neural-Network Technique for Recognition of Filaments in Solar Images.- Learning Multi-class Neural-Network Models from Electroencephalograms.- Establishing Safety Criteria for Artificial Neural Networks.- Neural Chaos Scheme of Perceptual Conflicts.- Learning of SAINNs from Covariance Function: Historical Learning.- Use of the Kolmogorov's Superposition Theorem and Cubic Splines for Efficient Neural-Network Modeling.- The Influence of Prior Knowledge and Related Experience on Generalisation Performance in Connectionist Networks.- Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks.- Invariants and Fuzzy Logic.- Newsvendor Problems Based on Possibility Theory.- Uncertainty Management in Rule Based Systems Application to Maneuvers Recognition.- Fuzzy Coefficients and Fuzzy Preference Relations in Models of Decision Making.- Mining Fuzzy Rules for a Traffic Information System.- Possibilistic Hierarchical Fuzzy Model.- Fuzzy Knowledge Based Guidance in the Homing Missiles.- Evolutionary Design of Rule Changing Cellular Automata.- Dynamic Control of the Browsing-Exploitation Ratio for Iterative Optimisations.- Intelligent Motion Generator for Mobile Robot by Automatic Constructed Action Knowledge-Base Using GA.- Population-Based Approach to Multiprocessor Task Scheduling in Multistage Hybrid Flowshops.- A New Paradigm of Optimisation by Using Artificial Immune Reactions.- Multi-objective Genetic Programming Optimization of Decision Trees for Classifying Medical Data.- A Study of the Compression Method for a Reference Character Dictionary Used for On-line Character Recognition.- Mercer Kernels and 1-Cohomology of Certain Semi-simple Lie Groups.- On-line Profit Sharing Works Efficiently.- Fast Feature Ranking Algorithm.- Visual Clustering with Artificial Ants Colonies.- Maximizing Benefit of Classifications Using Feature Intervals.- Parameter Estimation for Bayesian Classification of Multispectral Data.- Goal Programming Approaches to Support Vector Machines.- Asymmetric Triangular Fuzzy Sets for Classification Models.- Machine Learning to Detect Intrusion Strategies.- On the Benchmarking of Multiobjective Optimization Algorithm.- Multicategory Incremental Proximal Support Vector Classifiers.- Arc Consistency for Dynamic CSPs.- Determination of Decision Boundaries for Online Signature Verification.- On the Accuracy of Rotation Invariant Wavelet-Based Moments Applied to Recognize Traditional Thai Musical Instruments.- A Multi-agent System for Knowledge Management in Software Maintenance.- D2G2A: A Distributed Double Guided Genetic Algorithm for Max_CSPs.- Modelling Intelligent Agents for Organisational Memories.- A Study on the Multi-agent Approach to Large Complex Systems.- Multi-layered Distributed Agent Ontology for Soft Computing Systems.- A Model for Personality and Emotion Simulation.- Using Loose and Tight Bounds to Mine Frequent Itemsets.- Mining Association Rules with Frequent Closed Itemsets Lattice.- Mining Generalized Closed Frequent Itemsets of Generalized Association Rules.- Qualitative Point Sequential Patterns.- Visualization and Evaluation Support of Knowledge Discovery through the Predictive Model Markup Language.- Detecting Patterns of Fraudulent Behavior in Forensic Accounting.- SPIN!-An Enterprise Architecture for Spatial Data Mining.- The Role of Discretization Parameters in Sequence Rule Evolution.- Feature Extraction for Classification in Knowledge Discovery Systems.- Adaptive Per-application Load Balancing with Neuron-Fuzzy to Support Quality of Service for Voice over IP in the Internet.- Hybrid Intelligent Production Simulator by GA and Its Individual Expression.- On the Design of an Artificial Life Simulator.- 3-Dimensional Object Recognition by Evolutional RBF Network.- Soft Computing-Based Design and Control for Vehicle Health Monitoring.- An Adaptive Novelty Detection Approach to Low Level Analysis of Images Corrupted by Mixed Noise.- The Image Recognition System by Using the FA and SNN.- License Plate Detection Using Hereditary Threshold Determine Method.- Recognition from EMG Signals by an Evolutional Method and Non-negative Matrix Factorization.- A Feature Extraction Method for Personal Identification System.- A Feature Extraction of the EEG Using the Factor Analysis and Neural Networks.- A Neural Network Approach to Color Image Classification.- Recognition of EMG Signal Patterns by Neural Networks.- True Smile Recognition Using Neural Networks and Simple PCA.- Estimation of Sea Ice Movement Using Locally Parallel Matching Model.- Evaluation of a Combined Wavelet and a Combined Principal Component Analysis Classification System for BCG Diagnostic Problem.- Learning from the Expert: Improving Boundary Definitions in Biomedical Imagery.- Low Complexity Functions for Stationary Independent Component Mixtures.- Knowledge-Based Automatic Components Placement for Single-Layer PCB Layout.- Knowledge-Based Hydraulic Model Calibration.- Using Artificial Neural Networks for Combustion Interferometry.- An Operating and Diagnostic Knowledge-Ba…