Analytics Technology
A Framework for Web Science by Wendy Hall
This text sets out a series of approaches to the analysis and synthesis of the World Wide Web, and other web-like information structures. A comprehensive set of research questions is outlined, together with a sub-disciplinary breakdown, emphasising the multi-faceted nature of the Web, and the multi-disciplinary nature of its study and development.
These questions and approaches together set out an agenda for Web Science, the science of decentralised information systems. Web Science is required both as a way to understand the Web, and as a way to focus its development on key communicational and representational requirements. The text surveys central engineering issues, such as the development of the Semantic Web, Web services and P2P.
Analytic approaches to discover the Web's topology, or its graph-like structures, are examined. Finally, the Web as a technology is essentially socially embedded; therefore various issues and requirements for Web use and governance are also reviewed.
Visual Analytics
Illuminating the Path by National Visualization and Analytics Center (NVAC)
Under the leadership of Pacific Northwest National Laboratory and top researchers on the R&D Agenda Panel, a Research and Development Agenda for visual analytics was developed to define the directions and priorities for future research and development programs focused on visual analytics tools. This R&D Agenda, known as 'Illuminating the Path', provides a coordinated technical vision for government and industrial investments, and ensures that a continued stream of technology and tools enter the hands of analysts and emergency responders.
The R&D Agenda presents recommendations to advance the state of the art in the major visual analytics research areas:
The science of analytical reasoning
Visual representations and interaction techniques
Data representations and transformations
Production, presentation, and dissemination.
The R&D Agenda also includes recommendations to accelerate the ability to move the most promising research into practice and set the stage for an enduring visual analytics research community through a combination of education and research collaboration.
