A Framework for Web Science by Tim Berners-Lee, Wendy Hall, James A Hendler PDF
By Tim Berners-Lee, Wendy Hall, James A Hendler
A Framework for net technological know-how units out a sequence of techniques to the research and synthesis of the realm broad net, and different web-like info buildings. 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 research and improvement. those questions and methods jointly set out an time table for internet technology, the technological know-how of decentralised info platforms. internet technology is needed either in order to comprehend the net, and on the way to concentration its improvement on key communicational and representational requisites. A Framework for internet technological know-how surveys valuable engineering concerns, reminiscent of 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. eventually, the internet as a expertise is basically socially embedded; for this reason numerous matters and requisites for net use and governance also are reviewed. A Framework for net technology is aimed basically at researchers and builders within the quarter of Web-based wisdom administration and knowledge retrieval. it's going to even be a useful reference for college kids in laptop technological know-how on the postgraduate point, lecturers and commercial practitioners.
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Additional resources for A Framework for Web Science
Conceived as a hypertext structure, its usability depends to a very large extent on eﬀective linking; following a chain of badly linked pages leads to the well-known disorientation phenomenon of being ‘lost in hyperspace’. Following a chain of links is also rendered less risky by Web browsers which contain ‘back’ buttons, which in eﬀect provide the inverse of any hyperlink. And navigation need not only be a leisurely amble around a chain of hyperlinks, thanks to search engines that ﬁnd pages with characteristics of interest to the user.
38 Engineering the Web Another key factor in assessing the trustworthiness of a document is the reliability or otherwise of the claims expressed within it; metadata about provenance will no doubt help in such judgements but need not necessarily resolve them. Representing conﬁdence in reliability has always been diﬃcult in epistemic logics. In the context of knowledge representation approaches include: subjective logic, which represents an opinion as a real-valued triple (belief, disbelief, uncertainty) where the three items add up to 1 [159, 160]; grading based on qualitative judgements, although such qualitative grades can be given numerical interpretations and then reasoned about mathematically [110, 115]; fuzzy logic (cf.
3. Web engineering: New directions 51 rich context for content and structure (‘taming the Web’, as described in ), then NLP will play a key role in that, including mapping drift in meaning over time . If we understand the Semantic Web as focusing on data and the relational database model, then logical terms and persistent URIs become central. NLP works well statistically; the SW, in contrast, requires logic and doesn’t yet make substantial use of statistics. 1 for more discussion of this).
A Framework for Web Science by Tim Berners-Lee, Wendy Hall, James A Hendler