The major methodological, theoretical and practical aspects underlying computational collective intelligence are group decision making, collective action coordination, collective competition and knowledge description, transfer and integration.

Semantic Web.- Web Services Composition Framework with Petri Net Based Schemas.- Proposal of a New Rule-Based Inference Scheme for the Semantic Web Applications.- Applying Caching Capabilities to Inference Applications Based on Semantic Web.- Semantic Web System for Automatic Plan Scheduling.- Knowledge and Data Processing in a Process of Website Quality Evaluation.- Ontology Management and Applications.- Syntactic Modular Decomposition of Large Ontologies with Relational Database.- Relational Database as an Ontology Framework.- The Knowledge Generation about an Enterprise in the KBS-AE (Knowledge-Based System - Acts of Explanation).- Information Retrieval in the Geodetic and Cartographic Documentation Centers.- Visualization Framework of Information Map in Blog Using Ontology.- Semantic Data Integration in the Domain of Medicine.- Social Networks.- Analysis of Social Network’s Structural Properties in Huge Community Portal.- Efficient Construction of (d+1,3d)-Ruling Set in Wireless Ad Hoc Networks.- A Case Study of Building Social Network for Mobile Carriers.- Modelling Dynamics of Social Support Networks for Mutual Support in Coping with Stress.- Data Portability across Social Networks.- Agent and Multiagent Systems.- A Novel Formalism to Represent Collective Intelligence in Multi-agent Systems.- A Formal Model for Epistemic Interactions.- Issues on Aligning the Meaning of Symbols in Multiagent Systems.- Artificial Evolution and the EVM Architecture.- On Multi-agent Petri Net Models for Computing Extensive Finite Games.- Multi-agent Verification of RFID System.- An Action Selection Architecture for Autonomous Virtual Agents.- Agent Architecture for Criminal Mobile Devices Identification Systems.- A Trading Mechanism Based on Interpersonal Relationship in Agent-BasedElectronic Commerce.- Agent Based Architecture for Pricing the Services in Dynamic User/Network Environment.- Other Applications.- Accuracy in Predicting Secondary Structure of Ionic Channels.- Secure Information Splitting Using Grammar Schemes.- Comparative Analysis of Neural Network Models for Premises Valuation Using SAS Enterprise Miner.

The book consists of 29 chapters which have been selected and invited from the submissions to the 1st International Conference on Collective Intelligence - Semantic Web, Social Networks & Multiagent Systems (ICCCI 2009). All chapters in the book discuss various examples of applications of computational collective intelligence and related technologies to such fields as semantic web, information systems ontologies, social networks, agent and multiagent systems. The editors hope that the book can be useful for graduate and Ph.D. students in Computer Science, in particular participants to courses on Soft Computing, Multi-Agent Systems and Robotics. This book can also be useful for researchers working on the concept of computational collective intelligence in artificial populations. It is the hope of the editors that readers of this volume can find many inspiring ideas and use them to create new cases intelligent collectives. Many such challenges are suggested by particular approaches and models presented in particular chapters of this book.