Web Data Management

Serge Abiteboul 1, 2 Ioana Manolescu 3 Philippe Rigaux 4, 5 Marie-Christine Rousset 6 Pierre Senellart 7
1 DAHU - Verification in databases
LSV - Laboratoire Spécification et Vérification [Cachan], ENS Cachan - École normale supérieure - Cachan, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8643
3 OAK - Database optimizations and architectures for complex large data
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Available at http://webdam.inria.fr/Jorge/ Internet and the Web have revolutionized access to information. Today, one finds primarily on the Web, HTML (the standard for the Web) but also documents in pdf, doc, plain text as well as images, music and videos. The public Web is composed of billions of pages on millions of servers. It is a fantastic means of sharing information. It is very simple to use for humans. On the negative side, it is very inappropriate for accesses by software applications. This motivated the introduction of a semistructured data model, namely XML, that is well suited both for humans and machines. Goals of this site The present site aims to provide a consistent material to describe the structure of information found on the Web, and to explain how this information can be efficiently represented, described and accessed. The primary audience are students interested in data management issues, and teachers who want to set-up a course on Web Data Modeling and large-scale data management in distributed and heterogeneous environments.
Type de document :
Ouvrage (y compris édition critique et traduction)
Cambridge University Press, pp.432, 2012
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https://hal.inria.fr/hal-00847933
Contributeur : Serge Abiteboul <>
Soumis le : mercredi 24 juillet 2013 - 17:52:52
Dernière modification le : mardi 10 juillet 2018 - 17:02:03

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  • HAL Id : hal-00847933, version 1

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Serge Abiteboul, Ioana Manolescu, Philippe Rigaux, Marie-Christine Rousset, Pierre Senellart. Web Data Management. Cambridge University Press, pp.432, 2012. 〈hal-00847933〉

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