Features

• Provides knowledge engineering tools and a framework for integrating knowledge creation, discovery, and management
• Presents new methods for creating technological innovation from existing knowledge, such as IT techniques, organizational theory, and mathematical systems theory
• Brings together experienced researchers in decision science, artificial intelligence, systems engineering, behavioral science, and management science

Summary

Knowledge science is an emerging discipline resulting from the demands of a knowledge-based economy and information revolution. Explaining how to improve our knowledge-based society, Knowledge Science: Modeling the Knowledge Creation Process addresses problems in collecting, synthesizing, coordinating, and creating knowledge. The book introduces several key concepts in knowledge science:

• Knowledge technology, which encompasses classification, representation, modeling, identification, acquisition, searching, organization, storage, conversion, and dissemination
• Knowledge management, which covers three different yet related areas (knowledge assets, knowing processes, knower relations)
• Knowledge discovery and data mining, which combine databases, statistics, machine learning, and related areas to discover and extract valuable knowledge from large volumes of data
• Knowledge synthesis, knowledge justification, and knowledge construction, which are important in solving real-life problems

Specialists in decision science, artificial intelligence, systems engineering, behavioral science, and management science, the book’s contributors present their own original ideas, including an Oriental systems philosophy, a new episteme in the knowledge-based society, and a theory of knowledge construction. They emphasize the importance of systemic thinking for developing a better society in the current knowledge-based era.