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Michel Roland-Guill

Why can't we read anymore? - Medium - 0 views

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    Last year, I read four books. The reasons for that low number are, I guess, the same as your reasons for reading fewer books than you think you should have read last year: I've been finding it harder and harder to concentrate on words, sentences, pa…
Gabriel Gallezot

LIST OF PUBLISHERS | Scholarly Open Access - 0 views

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    "Potential, possible, or probable predatory scholarly open-access publishers"
Michel Roland-Guill

Syndicat national de l'édition - 0 views

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    La Commission européenne interdit l'application d'un taux de TVA réduit à la vente de livres numériques en ligne, au motif qu'il s'agit de prestation de services. via Pocket
Michel Roland-Guill

TVA réduite sur le livre numérique: le gouvernement fait sauter l'amendement ... - 0 views

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    Sommaire : Adopté contre l'avis du gouvernement, l'amendement EELV n'appliquant pas la TVA à taux réduit aux e-books en format fermé ou contenant des DRM n'aura vécu qu'une journée, supprimé par le vote des députés PS. C'était trop beau pour durer...
Michel Roland-Guill

Le wiki sémantique « InternetActu.net - 0 views

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    Adoubés par Tim Berners Lee lui-même, les wikis sémantiques sont "des wikis dans lesquels on peut ajouter des données, les extraire, les manipuler en utilisant toutes sortes d'outils du web sémantique". Exposés ainsi, on ne voit pas forcément la d...
Michel Roland-Guill

Linked Data? Web of Data? Semantic Web? WTF? at Tom Heath's Displacement Activities - 0 views

  • The first step is putting data on the Web in a form that machines can naturally understand, or converting it to that form. This creates what I call a Semantic Web – a web of data that can be processed directly or indirectly by machines.
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    Linked Data? Web of Data? Semantic Web? WTF? This post was prompted by this tweet from Tim O'Reilly… People learning about Linked Data frequently ask "what's the relationship between Linked Data and the Semantic Web?", which is a fair and good quest…
Michel Roland-Guill

Scientific American: Feature Article: The Semantic Web: May 2001 - 0 views

  • Most of the Web's content today is designed for humans to read, not for computer programs to manipulate meaningfully. Computers can adeptly parse Web pages for layout and routine processing—here a header, there a link to another page—but in general, computers have no reliable way to process the semantics
  • The Semantic Web will bring structure to the meaningful content of Web pages, creating an environment where software agents roaming from page to page can readily carry out sophisticated tasks for users.
  • The Semantic Web is not a separate Web but an extension of the current one
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  • To date, the Web has developed most rapidly as a medium of documents for people rather than for data and information that can be processed automatically.
  • For the semantic web to function, computers must have access to structured collections of information and sets of inference rules that they can use to conduct automated reasoning.
  • Semantic Web researchers, in contrast, accept that paradoxes and unanswerable questions are a price that must be paid to achieve versatility.
  • Adding logic to the Web—the means to use rules to make inferences, choose courses of action and answer questions—is the task before the Semantic Web community at the moment.
  • Two important technologies for developing the Semantic Web are already in place: eXtensible Markup Language (XML) and the Resource Description Framework (RDF).
  • Subject and object are each identified by a Universal Resource Identifier (URI), just as used in a link on a Web page.
  • the URIs ensure that concepts are not just words in a document but are tied to a unique definition that everyone can find on the Web
  • The semantic web is not "merely" the tool for conducting individual tasks that we have discussed so far. In addition, if properly designed, the Semantic Web can assist the evolution of human knowledge as a whole.
Michel Roland-Guill

FUN - Web sémantique et Web de données - 0 views

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    Fabien GANDON est directeur de Recherche à Inria et responsable de l'équipe Wimmics (Inria, I3S, CNRS, UNS) qui étudie des modèles et algorithmes pour concilier le Web social et le Web sémantique. via Pocket
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