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A Framework for Web Science by Tim Berners-Lee, Wendy Hall, James A Hendler PDF

By Tim Berners-Lee, Wendy Hall, James A Hendler

ISBN-10: 1933019336

ISBN-13: 9781933019338

ISBN-10: 1933019808

ISBN-13: 9781933019802

A Framework for net technological know-how units out a sequence of ways to the research and synthesis of the area vast net, and different web-like details buildings. A entire set of study questions is printed, including a sub-disciplinary breakdown, emphasising the multi-faceted nature of the internet, and the multi-disciplinary nature of its research and improvement. those questions and techniques jointly set out an time table for internet technology, the technology of decentralised details structures. net technology is needed either that allows you to comprehend the net, and so one can concentration its improvement on key communicational and representational specifications. A Framework for internet technological know-how surveys important engineering concerns, similar to the improvement of the Semantic internet, net providers and P2P. Analytic techniques to find the Web's topology, or its graph-like constructions, are tested. ultimately, the net as a expertise is largely socially embedded; accordingly quite a few matters and necessities for net use and governance also are reviewed. A Framework for internet technology is aimed basically at researchers and builders within the region of Web-based wisdom administration and knowledge retrieval. it's going to even be a useful reference for college students in computing device technology on the postgraduate point, teachers and commercial practitioners.

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Extra resources for A Framework for Web Science

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The growth of the Web is clearly a key desideratum. The storage of ever-larger quantities of information, in the context of ever-quicker computation, will be vital for the foreseeable future. Without smarter storage and faster retrieval for memory-hungry media like video, then ultimately the Web will grow too large for its own technologies. For instance, PageRank requires crawling and caching of significant portions of the Web; Google’s success depends 42 Engineering the Web on being able to keep its cache tractable while also of a significant size.

2 below. The questions about the difficulties of reasoning with metadata, and the giant task of annotating legacy data, remain very open. It has been argued that annotating the Web will require large-scale automatic methods, and such methods will in turn require particular strong knowledge modelling commitments [170]; whether this will contravene the decentralised spirit of the Web is as yet unclear. Much will depend on creative approaches such as annotating on the fly as annotations are required, or else annotating legacy resources such as databases underlying the deep Web [283].

87], and the decentralised 54 The analysis of the Web model of the Web certainly promotes the view that its growth is beyond control. The Web-as-platform model means that there are genuine and powerful senses in which the “creators” of the Web (who can be conceived as: the early conceptualisers of pervasive links between knowledge and knowledge representations; the originators of the powerful standards and languages underlying the Web as we know it; the many professionals currently and selflessly undertaking the painstaking negotiations on W3C standards bodies; or the writers of the actual content that we see online) do not control the macroscopic structure.

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A Framework for Web Science by Tim Berners-Lee, Wendy Hall, James A Hendler


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