Visualizing Difference
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Seeing and Visualizing
How we see and how we visualize: why the scientific account differs from our experience.
Visualizing with Text
Visualizing with Text uncovers the rich palette of text elements usable in visualizations from simple labels through to documents. Using a multidisciplinary research effort spanning across fields including visualization, typography, and cartography, it builds a solid foundation for the design space of text in visualization. The book illustrates many new kinds of visualizations, including microtext lines, skim formatting, and typographic sets that solve some of the shortcomings of well-known visualization techniques. Key features: More than 240 illustrations to aid inspiration of new visualizations Eight new approaches to data visualization leveraging text Quick reference guide for visualization with text Builds a solid foundation extending current visualization theory Bridges between visualization, typography, text analytics, and natural language processing The author website, including teaching exercises and interactive demos and code, can be found here. Designers, developers, and academics can use this book as a reference and inspiration for new approaches to visualization in any application that uses text.
Visualizing the Semantic Web
Author: Vladimir Geroimenko
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-06-29
Vladimir Geroimenko and Chaomei Chen The Semantic Web is avision that has sparked a wide-ranging enthusiasm for a new generation of the Web. The Semantic Web is happening. The central idea of this vision is to make the Web more understandable to computer programs so that people can make more use of this gigantic asset. The use of metadata (data about data) can clearly indicate the meaning of data on the Web so as to provide computers with enough information to handle such data. On the future Web, many additionallayers will be required if we want computer programs to handle the semantics (the meaning of data) properly without human intervention. Such layers should deal with the hierarchical relationships between meanings, their similarities and differences, logical rules for making new inferences from the existing data and metadata, etc. Dozens of new technologies have emerged recently to implement these ideas. XML (eXtensible Markup Language) forms the foundation of the future Web, RDF (Resource Description Framework), Topic Maps and many other technologies help to erect a "multi storey" building of the Semantic Web layer by layer by adding new features and new types of metadata. According to Tim Berners-Lee, the inventor of the current Web and the Semantic Web, it may take up to ten years to complete the building. The new Web will be much more complex than the current one and will contain enormous amounts of metadata as weIl as data.