
Decisional DNA and the Smart Knowledge Management System
Knowledge Engineering and Knowledge Management applied to an Intelligent Platform
Cesar Sanin(Author)
LAP Lambert Academic Publishing
Published on 9. January 2010
Book
Paperback/Softback
208 pages
978-3-8383-3742-5 (ISBN)
Description
Experience has made species to survive and cultures to prevail, as experience makes organizations to succeed. Thus, capturing the experience of every decision taken in an explicit representation form is highlighted as the utmost importance in knowledge engineering presented in this book. Decisional DNA knowledge representation allows building the experiential fingerprints of an organization by implementing a model for transforming information into knowledge. The Smart Knowledge Management System (SKMS) is a self-learning and intelligent knowledge management hybrid platform developed to help decision makers in their daily operation. Technologies such as expert systems, simulation, statistical tools, knowledge-based systems, and multiple AI technologies are integrated into the SKMS allowing the combination of different perspectives for acquiring the required explicit decisional experiential knowledge by the means of Decisional DNA. The presented tools offer useful insights to professionals, students and researchers interested in knowledge engineering and knowledge management, but more generally, in the artificial intelligence and information systems fields.
More details
Language
English
Place of publication
Germany
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 14 mm
Weight
328 gr
ISBN-13
978-3-8383-3742-5 (9783838337425)
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Schweitzer Classification
Person
An outstanding researcher who focused his PhD degree and current research at The University of Newcastle (Australia), KERT group, on issues related to knowledge engineering. He has contributed to the understanding of knowledge representation, knowledge engineering, and mathematical models for the process of transforming information into knowledge.