Synopsis:
A Framework for Web Science 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. A Framework for Web Science 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. A Framework for Web Science is aimed primarily at researchers and developers in the area of Web-based knowledge management and information retrieval. It will also be an invaluable reference for students in computer science at the postgraduate level, academics and industrial practitioners.
About the Author:
Tim Berners-Lee, inventor of the Web, is currently the director of theWorld Wide Web Consortium, the coordinating body for Web development, and heoccupies the 3Com Founders chair at the MIT Laboratory for Computer Science.Recipient of numerous awards, he received the distinguished MacArthurFellowship in 1998. He lives in Cambridge, MA.
Currently employed at Liverpool Hope University in teacher training, Wendy has spent the last 20 years gaining qualifications in various aspects of special needs. Having qualified as a specialist tutor she taught privately in schools as well as providing special expertise on teacher training programmes.
James Hendler is Director of Semantic Web and Agent Technology, Maryland Information and Network Dynamics Laboratory, University of Maryland.
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