IGI Global Dynamic Knowledge Representation in Scientific Domains (Advances in Web Technologies and Engineering)

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. About the Author Cyril Pshenichny is the Geognosis Project leader and an Assistant Professor at the Department of Computer System Design and Security, ITMO University. His PhD defended in 1998 was on composition and history of ancient volcanic rocks. His research path brought him to the issues of artificial intelligence and knowledge engineering from the geoscience, where he first developed the method of event bush now acquiring much wider application. He has authored and coauthored dozens of research papers, gave lectures and conducted seminars throughout the world. Currently, he is a co-editor of the Collaborative Knowledge in Scientific Research Networks monograph to be published by IGI Global.