Tim Berners-Lee

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Sir Tim Berners-Lee
Timothy John Berners-Lee
BirthplaceLondon, England United Kingdom
Computer scientist
Known for Inventing the World Wide Web Holder of the 3Com Founders Chair at MIT's Computer Science and Artificial Intelligence Laboratory

Berners-Lee, Tim

(Sir Timothy John Berners-Lee), 1955–, British computer scientist, b. London, grad. The Queen's College, Oxford (B.A. 1976). He joined CERNCERN
or European Organization for Nuclear Research,
nuclear and particle physics research center straddling the French-Swiss border W of Geneva, Switzerland. Established in 1952 as the provisional European Center for Nuclear Research (the acronym CERN derives from this
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, near Geneva, Switzerland, as a consultant software engineer in 1960. While there he wrote for his own private use a program for storing information including using random associations; this program formed the conceptual basis for the future development of the World Wide WebWorld Wide Web
(WWW or W3), collection of globally distributed text and multimedia documents and files and other network services linked in such a way as to create an immense electronic library from which information can be retrieved quickly by intuitive searches.
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. In 1989, he proposed a global hypertexthypertext,
technique for organizing computer databases or documents to facilitate the nonsequential retrieval of information. Related pieces of information are connected by preestablished or user-created links that allow a user to follow associative trails across the database.
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 project, to be known as the World Wide Web; it was to be designed to allow people to work together by combining their knowledge in a web of hypertext documents. He wrote the first Web server and the first client, a hypertext browser-editor, and defined the URL, HTTP and HTML specifications on which the Web depends. The Web was made available within CERN in Dec., 1990, and on the InternetInternet, the,
international computer network linking together thousands of individual networks at military and government agencies, educational institutions, nonprofit organizations, industrial and financial corporations of all sizes, and commercial enterprises (called gateways
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 at large in the summer of 1991. In 1994, Berners-Lee joined the Laboratory for Computer Science at the Massachusetts Institute of Technology as Director of the W3 Consortium, which coordinates Web development worldwide. With M. Fischetti, he wrote Weaving the Web (1999). He was knighted in 2004.
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Tim Berners-Lee


Tim Berners-Lee

The man who invented the World-Wide Web while working at the Center for European Particle Research (CERN). Now Director of the World-Wide Web Consortium.

Tim Berners-Lee graduated from the Queen's College at Oxford University, England, 1976. Whilst there he built his first computer with a soldering iron, TTL gates, an M6800 processor and an old television.

He then went on to work for Plessey Telecommunications, and D.G. Nash Ltd (where he wrote software for intelligent printers and a multi-tasking operating system), before joining CERN, where he designed a program called 'Enquire', which was never published, but formed the conceptual basis for today's World-Wide Web.

In 1984, he took up a fellowship at CERN, and in 1989, he wrote the first World-Wide Web server, "httpd", and the first client, "WorldWideWeb" a hypertext browser/editor which ran under NEXTSTEP. The program "WorldWideWeb" was first made available within CERN in December, and on the Internet as a whole in the summer of 1991.

In 1994, Tim joined the Laboratory for Computer Science (LCS) at the Massachusetts Institute of Technology (MIT). In 1999, he became the first holder of the 3Com Founders chair. He is also the author of "Weaving the Web", on the past present and future of the Web.

In 2001, Tim was made a fellow of The Royal Society.

Tim is married to Nancy Carlson. They have two children, born 1991 and 1994.

This article is provided by FOLDOC - Free Online Dictionary of Computing (foldoc.org)
References in periodicals archive ?
Indien die afrigtingsdata egter links belyn word, daal die akkuraatheid van 88,60% tot 60,35% (met TiMBL se verstekinstellings).
Hierdie probleem, tesame met die feit dat Paramsearch 1.0 slegs vir twee van die klassifikasiealgoritmes in TiMBL beskikbaar is, het as aansporing gedien om 'n eie, "aangepaste" weergawe van Paramsearch te ontwikkel.
Die grootste verskille Ie egter in die metodes waarvolgens die groottes van die opeenvolgende datastelle bereken word, asook in die feit dat PSearch vir al die klassifikasiealgoritmes in TiMBL beskikbaar is.
Tabel 5 dui aan dat die hoogste akkuraatheidsyfer van 92,8% verkry word wanneer TiMBL se IB1 klassifikasiealgoritme gebruik word.
Reference guide to TiMBL. ilk.uvt.nl/downloads/pub/papers/ ilk0402.pdf Date of access: 25 Apr.
As we are dealing with neologisms, accuracy is evaluated in terms of the percentage of experimental words for which TiMBL predicts a linking morpheme that is identical to the majority choice of our participants.
The best results are obtained when we train TiMBL on the pooled constituent family members of all experimental compounds.
Table 5 compares the success rate that can be achieved on the basis of the phonological and morphological rules that have been formulated for Dutch with the corresponding success rate as achieved by TiMBL (trained on the constituent families of the individual items), for experiments 1 and 2.
Finally, Table 6 presents a comparison of the performance of the participants with the performance of TiMBL when trained on the constituent families of the individual items.
A series of computational simulation studies using an exemplar-based machine-learning algorithm for the modeling of analogy, TiMBL, revealed that the actual linking morphemes selected by the participants in our experiments can be predicted with a high degree of accuracy on the basis of the morphological family of the first constituent, with some additional influence of the semantics of the second constituent.
Thus far, we have used the machine-learning algorithm implemented in TiMBL to model the analogical selection of linking morphemes in novel compounds.