Constitutes the refereed proceedings of the 5th IFIP Artificial Intelligence Innovations and Applications Conference. This title publishes results in the sciences and technologies of information and communication.

Synergies of AI methods for Robotic Planning and Grabbing, Facial Expressions Recognition and Blind's Navigation.- Neural Networks for Modal and Virtual Learning.- A Hybrid Technology for Operational Decision Support in Pervasive Environments.- An Expert System Based on Parametric Net to Support Motor Pump Multi-Failure Diagnostic.- Providing Assistance during Decision-making Problems Solving in an Educational Modelling Environment.- Alternative Strategies for Conflict Resolution in Multi-Context Systems.- Certified Trust Model.- A Fuzzy Knowledge-based Decision Support System for Tender Call Evaluation.- Extended CNP Framework for the Dynamic Pickup and Delivery Problem Solving.- A Logic-Based Approach to Solve the Steiner Tree Problem.- An Argumentation Agent Models Evaluative Criteria.- ASIC Design Project Management Supported by Multi Agent Simulation.- On the Combination of Textual and Semantic Descriptions for Automated Semantic Web Service Classification.- Revealing Paths of Relevant Information in Web Graphs.- Preferential Infinitesimals for Information Retrieval.- OntoLife: an Ontology for Semantically Managing Personal Information.- AIR_POLLUTION_Onto: an Ontology for Air Pollution Analysis and Control.- Experimental Evaluation of Multi-Agent Ontology Mapping Framework.- Visualizing RDF Documents.- A Knowledge-based System for Translating FOL Formulas into NL Sentences.- Background Extraction in Electron Microscope Images of Artificial Membranes.- Confidence Predictions for the Diagnosis of Acute Abdominal Pain.- Enhanced Human Body Fall Detection Utilizing Advanced Classification of Video and Motion Perceptual Components.- An Evolutionary Technique for Medical Diagnostic Risk Factors Selection.- Mining Patterns of Lung Infections in Chest Radiographs.- Computational Modeling of Visual Selective Attention Based on Correlation and Synchronization of Neural Activity.- MEDICAL_MAS: an Agent-Based System for Medical Diagnosis.- Heterogeneous Data Fusion to Type Brain Tumor Biopsies.- Automatic Knowledge Discovery and Case Management: an Effective Way to Use Databases to Enhance Health Care Management.- Combining Gaussian Mixture Models and Support Vector Machines for Relevance Feedback in Content Based Image Retrieval.- Performance Evaluation of a Speech Interface for Motorcycle Environment.- Model Identification in Wavelet Neural Networks Framework.- Two Levels Similarity Modelling: a Novel Content Based Image Clustering Concept.- Locating an Acoustic Source Using a Mutual Information Beamformer.- Intelligent Modification of Colors in Digitized Paintings for Enhancing the Visual Perception of Color-blind Viewers.- An intelligent Fuzzy Inference System for Risk Estimation Using Matlab Platform: the Case of Forest Fires in Greece.- MSRS: Critique on its Usability via a Path Planning Algorithm Implementation.- Automated Product Pricing Using Argumentation.- User Recommendations based on Tensor Dimensionality Reduction.- A Genetic Algorithm for the Classification of Earthquake Damages in Buildings.- Mining Retail Transaction Data for Targeting Customers with Headroom - A Case Study.- Adaptive Electronic Institutions for Negotiations.- A Multi-agent Task Delivery System for Balancing the Load in Collaborative Grid Environment.- Backing-up Fuzzy Control of a Truck-trailer Equipped with a Kingpin Sliding Mechanism.- Sensing Inertial and Continuously-Changing World Features.- MobiAct: Supporting Personalized Interaction with Mobile Context-aware Applications.- Defining a Task's Temporal Domain for Intelligent Calendar Applications.- Managing Diagnosis Processes with Interactive Decompositions.- Computer Log Anomaly Detection Using Frequent Episodes.- Semi-tacit Adaptation of Intelligent Environments.- A Formal Fuzzy Framework for Representation and Recognition of Human Activities.- Multi-modal System Architecture for Serious Gaming.- Reconstruction-based Classification Rule Hiding through Controlled Data Modification.- Learning Rules from User Behaviour.- Behaviour Recognition using the Event Calculus.- Multi-Source Causal Analysis: Learning Bayesian Networks from Multiple Datasets.- A Hybrid Approach for Improving Prediction Coverage of Collaborative Filtering.- Towards Predicate Answer Set Programming via Coinductive Logic Programming.- An Adaptive Resource Allocating Neuro-Fuzzy Inference System with Sensitivity Analysis Resource Control.- A Lazy Approach for Machine Learning Algorithms.- TELIOS: A Tool for the Automatic Generation of Logic Programming Machines.- GF-Miner: a Genetic Fuzzy Classifier for Numerical Data.- Fuzzy Dependencies between Preparedness and Learning Outcome.

International Federation for Information Processing The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of refereed international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing. For more information about the 300 other books in the IFIP series, please visit www.springer.com. For more information about IFIP, please visit www.ifip.org.

The papers in this volume were peer-reviewed and carefully selected Much information in this series is published in advance of journal publication The contributors in this volume are world-renowned experts in their field