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.
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