Springer Advances in Intelligent Information and Database Systems: 283 (Studies in Computational Intelligence, 283)

Intelligent information and database systems are two closely related and we- established subfields of modern computer science. They focus on the integration of artificial intelligence and classic database technologies in order to create the class of next generation information systems. The major target of this new gene- tion of systems is to provide end-users with intelligent behavior: simple and/or advanced learning, problem solving, uncertain and certain reasoning, se- organization, cooperation, etc. Such intelligent abilities are implemented in classic information systems to make them autonomous and user oriented, in particular when advanced problems of multimedia information and knowledge discovery, access, retrieval and manipulation are to be solved in the context of large, distr- uted and heterogeneous environments. It means that intelligent knowledge-based information and database systems are used to solve basic problems of large coll- tions management, carry out knowledge discovery from large data collections, reason about information under uncertain conditions, support users in their for- lation of complex queries etc. Topics discussed in this volume include but are not limited to the foundations and principles of data, information, and knowledge models, methodologies for intelligent information and database systems analysis, design, implementation, validation, maintenance and evolution. From the Back Cover The book consists of 32 extended chapters which have been based on selected submissions to the poster session organized during the 2nd Asian Conference on Intelligent Information and Database Systems (24-26 March 2010 in Hue, Vietnam). The book is organized into four parts devoted to information retrieval and management, service composition and user-centered approach, data mining and knowledge extraction, and computational intelligence, respectively. All chapters in the book discuss theoretical and practical issues related to integration of artificial intelligence and database technologies in order to develop new classes of intelligent information systems. Such combination of artificial intelligence and database technologies is a fast growing subfield of modern computer science, important due to the constant development of networked information systems. New global multimedia systems used by heterogeneous populations call for these developments. The editors hope that the book can be useful for graduate and PhD students of computer science, as well as for mature academics, researchers and practitioners interested in effective application of artificial intelligence and database systems to modern information environments. It is the hope of the editors that readers of this volume can find many inspiring ideas and influential practical examples and use them in their future work.