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

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

A Framework for net technology units out a chain of methods to the research and synthesis of the realm large internet, and different web-like details constructions. A complete set of analysis questions is printed, including a sub-disciplinary breakdown, emphasising the multi-faceted nature of the internet, and the multi-disciplinary nature of its learn and improvement. those questions and ways jointly set out an schedule for internet technological know-how, the technology of decentralised details structures. internet technology is needed either so one can comprehend the internet, and with a purpose to concentration its improvement on key communicational and representational necessities. A Framework for net technological know-how surveys principal engineering concerns, reminiscent of the improvement of the Semantic internet, internet prone and P2P. Analytic techniques to find the Web's topology, or its graph-like constructions, are tested. eventually, the internet as a know-how is largely socially embedded; for that reason quite a few concerns and requisites for internet use and governance also are reviewed. A Framework for internet technology is aimed essentially at researchers and builders within the quarter of Web-based wisdom administration and data retrieval. it's going to even be a useful reference for college students in desktop technology on the postgraduate point, teachers and business practitioners.

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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.

In fact, the SW’s attitude to ontologies is no more than a rationalisation of actual data-sharing practice. Applications can and do interact without achieving or attempting to achieve global consistency and coverage. A system that presents a retailer’s wares to customers will harvest information from suppliers’ databases (themselves likely to use heterogeneous formats) and map it onto the retailer’s preferred data format for re-presentation. Automatic tax return software takes bank data, in the bank’s preferred format, and maps them onto the tax form.

Indeed, the issues relating to navigation through multimedia repositories such as video archives and through the Web are not unrelated: both need information links to support browsing, and both need engines to support manual link traversal. However, the keyword approach may falter in the multimedia context because of the greater richness of many non-textual media [264]. The Google image search approach relies on the surrounding text for an image, for example, which allows relatively fast search, and again in general the user is often able to make the final choice by sifting through the recommendations presented (keyword-based image searches tend to produce many fewer hits, which may mean they are missing many plausible possibilities).

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