This bookintroduces a novel approach for intelligent visualizations that adapts thedifferent visual variables and data processing to humans behavior and giventasks. Thereby a number of new algorithms and methods are introduced to satisfythe human need of information and knowledge and enable a usable and attractiveway of information acquisition. Each method and algorithm is illustrated in areplicable way to enable the reproduction of the entire SemaVis system orparts of it. The introduced evaluation is scientifically well-designed andperformed with more than enough participants to validate the benefits of themethods. Beside the introduced new approaches and algorithms, readers may finda sophisticated literature review in Information Visualization and VisualAnalytics, Semantics and information extraction, and intelligent and adaptivesystems. This book is based on an awarded and distinguished doctoral thesis incomputer science.
Part I Literature Review and State of the Art.- Part II Model for Adaptive Semantics Visualization.- Part III Proof of the Conceptual Model.
This book introduces a novel approach for intelligent visualizations that adapts the different visual variables and data processing to humans behavior and given tasks. Thereby a number of new algorithms and methods are introduced to satisfy the human need of information and knowledge and enable a usable and attractive way of information acquisition. Each method and algorithm is illustrated in a replicable way to enable the reproduction of the entire SemaVis system or parts of it. The introduced evaluation is scientifically well-designed and performed with more than enough participants to validate the benefits of the methods. Beside the introduced new approaches and algorithms, readers may find a sophisticated literature review in Information Visualization and Visual Analytics, Semantics and information extraction, and intelligent and adaptive systems. This blC>