This book
introduces a novel approach for intelligent visualizations that adapts the
different visual variables and data processing to human's 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 book is based on an awarded and distinguished doctoral thesis in
computer science.