Dynamic Knowledge Representation in Scientific Domains

Nonfiction, Science & Nature, Science, Other Sciences, Methodology, Computers, Advanced Computing, Management Information Systems
Cover of the book Dynamic Knowledge Representation in Scientific Domains by , IGI Global
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Author: ISBN: 9781522552635
Publisher: IGI Global Publication: March 16, 2018
Imprint: Engineering Science Reference Language: English
Author:
ISBN: 9781522552635
Publisher: IGI Global
Publication: March 16, 2018
Imprint: Engineering Science Reference
Language: English

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.

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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.

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