Dynamic Knowledge Representation in Scientific Domains (Hardcover)

The main approach to understanding and creating knowledge engineering concepts is static knowledge. Currently, there is a need to approach knowledge through a dynamic lens and address changing relations on an elaborated syntactic and semantic basis. Dynamic Knowledge Representation in Scientific Domains provides emerging research on the internal and external changes in knowledge within various subject areas and their visual representations. While highlighting topics such as behavior diagrams, distribution analysis, and qualitative modeling, this publication explores the structural development and assessment of knowledge models. This book is an important resource for academicians, researchers, students, and practitioners seeking current research on information visualization in order to foster research and collaboration.

General

Imprint:	IGI Global
Country of origin:	United States
Release date:	March 2018
First published:	2018
Editors:	Cyril Pshenichny • Paolo Diviacco • Dmitry Mouromtsev
Dimensions:	279 x 216mm (L x W)
Format:	Hardcover
Pages:	323
ISBN-13:	978-1-5225-5261-1
Categories:	Books > Science & Mathematics > Science: general issues > Industrial applications of scientific research & technological innovation Promotions
LSN:	1-5225-5261-8
Barcode:	9781522552611

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