Semantic Methods for Knowledge Management and Communication

Semantic Methods for Knowledge Management and Communication Radosław P. Katarzyniak, Grzegorz Skorupa, Michał Adamski, Łukasz Burdka (auth.), Radosław Katarzyniak, Tzu-Fu Chiu, Chao-Fu Hong, Ngoc Thanh Nguyen (eds.)
The book consists of 31 chapters in which the authors deal with multiple aspects of modeling, utilization and implementation of semantic methods for knowledge management and communication in the context of human centered computing. It is assumed that the modern human centered computing requires the intensive application of these methods as well as effective integration with multiple techniques of computational collective intelligence. The book is organized in four parts devoted to the presentation of utilization of knowledge processing in agent and multiagent systems, application of computational collective intelligence to knowledge management, models for collectives of intelligent agents, and models and environments tailored directly to human-centered computing. All chapters in the book discuss theoretical and practical issues related to various models and aspects of computational techniques for semantic methods, which are currently studied and developed in many academic and industry centers over the world. 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 developing of modern methods for representation, processing and distribution of knowledge in the context of human centered computing and by means of computer based information systems. It is the hope of the editors that readers of this volume can find in all chosen chapters many inspiring ideas and influential practical examples, as well as use them in their current and future work. Categories:
Computers – Cybernetics
Year:
2011
Edition:
1
Publisher:
Springer-Verlag Berlin Heidelberg
Language:
english
Pages:
37 353
ISBN 10:
3642209866
ISBN 13:
9783642209864
Series:
Studies in Computational Intelligence 381
File:
63 MB