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Knowledge Visualization Currents

Author: Francis T. Marchese

Publisher: Springer Science & Business Media

Published: 2012-12-02

Total Pages: 230

ISBN-13: 1447143035

This text reviews the evolution of the field of visualization, providing innovative examples from various disciplines, highlighting the important role that visualization plays in extracting and organizing the concepts found in complex data. Features: presents a thorough introduction to the discipline of knowledge visualization, its current state of affairs and possible future developments; examines how tables have been used for information visualization in historical textual documents; discusses the application of visualization techniques for knowledge transfer in business relationships, and for the linguistic exploration and analysis of sensory descriptions; investigates the use of visualization to understand orchestral music scores, the optical theory behind Renaissance art, and to assist in the reconstruction of an historic church; describes immersive 360 degree stereographic visualization, knowledge-embedded embodied interaction, and a novel methodology for the analysis of architectural forms.

Knowledge Visualization Currents

Author: Francis T Marchese

Publisher: Springer Science & Business Media

Published: 2012-10-05

Total Pages: 230

ISBN-13: 1447143027

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Perceptions of Knowledge Visualization: Explaining Concepts through Meaningful Images

Author: Ursyn, Anna

Publisher: IGI Global

Published: 2013-10-31

Total Pages: 418

ISBN-13: 1466647043

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Multisensory perception is emerging as an important factor in shaping current lifestyles. Therefore, computer scientists, engineers, and technology experts are acknowledging the comparative power existing beyond visual explanations. Perceptions of Knowledge Visualization: Explaining Concepts through Meaningful Images discusses issues related to visualization of scientific concepts, picturing processes and products, as well as the role of computing in the advancement of visual literacy skills. By connecting theory with practice, this book gives researchers, computer scientists, and academics an active experience which enhances the perception and the role of computer graphics.

Handbook of Research on Maximizing Cognitive Learning through Knowledge Visualization

Author: Ursyn, Anna

Publisher: IGI Global

Published: 2015-02-28

Total Pages: 598

ISBN-13: 1466681438

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The representation of abstract data and ideas can be a difficult and tedious task to handle when learning new concepts; however, the advances of emerging technology have allowed for new methods of representing such conceptual data. The Handbook of Research on Maximizing Cognitive Learning through Knowledge Visualization focuses on the use of visualization technologies to assist in the process of better comprehending scientific concepts, data, and applications. Highlighting the utilization of visual power and the roles of sensory perceptions, computer graphics, animation, and digital storytelling, this book is an essential reference source for instructors, engineers, programmers, and software developers interested in the exchange of information through the visual depiction of data.

Information Visualisation

Author: Ebad Banissi

Publisher: Cambridge Scholars Publishing

Published: 2014-10-21

Total Pages: 290

ISBN-13: 144387017X

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Information visualisation is the field of study that is concerned with the development of methods for transforming abstract, complex data into visual representations in order to make that data more easily communicable and understandable. This volume reviews recent developments in information visualisation techniques, their application, and methods for their evaluation. It offers a wide range of examples of applied information visualisation from across disciplines such as history, art, the hum...

Information Visualization Techniques in the Social Sciences and Humanities

Author: Osinska, Veslava

Publisher: IGI Global

Published: 2018-03-23

Total Pages: 356

ISBN-13: 1522549919

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The representation of abstract data and ideas can be a difficult and tedious task to handle when learning new concepts; however, the advances in emerging technology have allowed for new methods of representing such conceptual data. Information Visualization Techniques in the Social Sciences and Humanities is a critical scholarly resource that examines the application of information visualization in the social sciences and humanities. Featuring coverage on a broad range of topics such as social network analysis, complex systems, and visualization aesthetics, this book is geared towards professionals, students, and researchers seeking current research on information visualization.

Computer-based Medical Guidelines and Protocols: A Primer and Current Trends

Author: A. Ten Teije

Publisher: IOS Press

Published: 2008-07-24

Total Pages: 300

ISBN-13: 1607503417

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This book brings together results from different branches of computer science (in particular, artificial intelligence), medical informatics and medicine to examine cutting edge approaches to computer-based guideline modeling, verification and interpretation. Different methods have been developed to support the development, deployment, maintenance and use of evidence-based guidelines, using techniques from artificial intelligence, software engineering, medical informatics and formal methods. Such methods employ different representation formalisms and computational techniques. As the guideline-related research spans a wide range of research communities, a comprehensive integration of the results of these communities was lacking. It is the intention of this book to fill this gap. It is the first book of its kind that partially has the nature of a textbook. The book consists of two parts. The first part consists of nine chapters which together offer a comprehensive overview of the most important medical and computer-science aspects of clinical guidelines and protocols. The second part of the book consists of chapters that are extended versions of selected papers that were originally submitted to the ECAI-2006 workshop ‘AI Techniques in Health Care: Evidence-based Guidelines and Protocols’. These chapters will provide the reader detailed information about actual research in the area by leading researchers.

Perceptions of Knowledge Visualization

Author: Anna Ursyn

Publisher: Information Science Reference

Published: 2014

Total Pages: 0

ISBN-13: 9781466647039

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"This book discusses issues related to visualization of scientific concepts, picturing processes and products, as well as the role of computing in the advancement of visual literacy skills"--

Information Visualization in Data Mining and Knowledge Discovery

Author: Usama M. Fayyad

Publisher: Morgan Kaufmann

Published: 2002

Total Pages: 446

ISBN-13: 9781558606890

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This text surveys research from the fields of data mining and information visualisation and presents a case for techniques by which information visualisation can be used to uncover real knowledge hidden away in large databases.

Current Trends in Knowledge Acquisition

Author: Bob Wielinga

Publisher: IOS Press

Published: 1990

Total Pages: 390

ISBN-13: 9789051990362

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Knowledge acquisition has become a major area of artificial intelligence and cognitive science research. The papers in this book show that the area of knowledge acquisition for knowledge-based systems is still a diverse field in which a large number of research topics are being addressed. However, several main themes run through the papers. First, the issues of integrating knowledge from different sources and K.A. tools is a salient topic in many papers. A second major topic in the papers is that of knowledge modelling. Research in knowledge-based systems emphasises the use of generic models of reasoning and its underlying knowledge. An important trend in the area of knowledge modelling aims at the formalisation of knowledge models. Where the field of knowledge acquisition was without tools and techniques years ago, now there is a rapidly growing body of techniques and tools. Apart from the integrated workbenches already mentioned above, several papers in this book present new tools. Although knowledge acquisition and machine learning have been considered as separate subfields of AI, there is a tendency for the two fields to come together. This publication combines machine learning techniques with more conventional knowledge elicitation techniques. A framework is presented in which reasoning, problem solving and learning together form a knowledge intensive system that can acquire knowledge from its own experience.