Adaptive Semantics Visualization

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.

Introduces a novel model for adaptive visualization Investigates different approaches and models and their effects on system adaptation to gather implicit information about users and their behavior Includes a comprehensive user study displaying the benefits of the presented model Includes supplementary material: sn.pub/extras

Inhalt
Part I Literature Review and State of the Art.- Part II Model for Adaptive Semantics Visualization.- Part III Proof of the Conceptual Model.