Knowledge Science

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application
artificial intelligence
Category=KJQ
Category=KJT
Category=UNF
Category=UYD
creation
data
Data Mining
Data Mining Methods
data-driven discovery
decision science
decision support systems
discovery
Document Manager System
El
epistemology
eq_bestseller
eq_business-finance-law
eq_computing
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eq_nobargain
eq_non-fiction
Expert Mining
explicit
information systems theory
Japan Advanced Institute
KDD Process
KMS
Knowledge Application System
Knowledge Based System
knowledge construction
Knowledge Coordinators
Knowledge Creation
knowledge discovery
knowledge engineering
knowledge justification
Knowledge Management
Knowledge Management Mechanisms
Knowledge Management Service
knowledge science
Knowledge Scope
Knowledge Sharing Technology
Knowledge Synthesis
Knowledge technology
Knowledge Vision
KSE
LLS
management
mathematical systems theory
mining
Organizational Knowledge Creation Theory
organizational learning
process
Soft Technology
synthesis
systemic knowledge modeling process
systems engineering
tacit
Web Mining
Web Structure Mining

Product details

  • ISBN 9781439838365
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 03 Aug 2011
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

Yoshiteru Nakamori is a professor in the School of Knowledge Science at the Japan Advanced Institute of Science and Technology (JAIST). His research encompasses systems methodology, environmental studies, and agent-based simulation.