Dynamic Knowledge Representation in Scientific Domains

Dynamic Knowledge Representation in Scientific Domains

Cyril Pshenichny, Paolo Diviacco, Dmitry Mouromtsev
Indexed In: SCOPUS
Release Date: March, 2018|Copyright: © 2018 |Pages: 397
DOI: 10.4018/978-1-5225-5261-1
ISBN13: 9781522552611|ISBN10: 1522552618|EISBN13: 9781522552628
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Behavior Diagrams
  • Collaborative Research
  • Decisions Support
  • Distribution Analysis
  • Event Bushes
  • Graph Visualization
  • Petri Nets
  • Qualitative Bayesian Reasoning
  • Qualitative Modeling
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Editor/Author Biographies
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.
Paolo Diviacco is a geophysicist at Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS). He holds a PhD in exploration geophysics, and has 20 years of experience in seismic data processing. He maintained always an interest in computer science and programming, developing software in the field of geophysics and Web-based data management. At the same time, he has always been interested in the philosophical and sociological aspects of scientific production in general and in the geo-sciences in particular. He has been active in developing ideas and Web-based systems that could support scientists while collaborating and foster the collaborative attitude among research institutions. In this context, he worked within several international projects, such as, for example, FP7 ODIP, FP7 Geo-Seas, FP7 Emodnet, FP7 Eurofleets, and the Antarctic Seismic Data Library.
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