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

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

ISBN-10: 1933019336

ISBN-13: 9781933019338

ISBN-10: 1933019808

ISBN-13: 9781933019802

A Framework for internet technological know-how units out a chain of techniques to the research and synthesis of the realm large net, and different web-like details 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 examine and improvement. those questions and ways jointly set out an time table for internet technology, the technological know-how of decentralised info platforms. net technological know-how is needed either so that it will comprehend the internet, and to be able to concentration its improvement on key communicational and representational standards. A Framework for net technology surveys primary engineering matters, akin to the improvement of the Semantic net, internet companies and P2P. Analytic ways to find the Web's topology, or its graph-like buildings, are tested. eventually, the internet as a know-how is largely socially embedded; for this reason numerous concerns and specifications for internet use and governance also are reviewed. A Framework for internet technological know-how is aimed basically at researchers and builders within the zone of Web-based wisdom administration and data retrieval. it is going to even be a useful reference for college kids in machine technological know-how on the postgraduate point, lecturers and business practitioners.

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Texts containing unstructured data can now be mapped onto existing resources such as ontologies to provide markup and annotation, after initial training sessions. Computing ontologies such as we have encountered are different in purpose and structure from the thesauri and taxonomies from the NLP world, although there is a debate about the extent and nature of the distinction [125, 289]. WordNet, for example, is not an ontology strictly, for instance containing lexical items with different senses where an ontology tries to ensure a unique interpretation for the terms it uses.

158]). In some respects, this perception may be related to the idea of the development of a single consistent Ontology of Everything, as for example with CYC [183]. 1. Web semantics 35 use cannot be enforced. If the SW is seen as requiring widespread buyin to a particular point of view, then it is understandable that emergent structures like folksonomies begin to seem more attractive (cf. [259]). But this is not an SW requirement. In fact, the SW’s attitude to ontologies is no more than a rationalisation of actual data-sharing practice.

And a further possible way of understanding similarity is between particular usage patterns of the page – are two pages often accessed at similar points in a Web surfing session [76]? Content-based similarity can be approached by matching words or subsequences from the two pages. Relatively simple techniques can be used to determine the resemblance between two pages (the ratio between the size of the intersection of the subsequences and the size of their union), and the containment of one by the other (the ratio between the intersection and the size of the contained set) [48].

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

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