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A Semantic Map of RSS Feeds to support Discovery

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Gaïane Hochard
  • Function : Author
Zoé Lacroix
  • Function : Author
Bernd Amann
Jordi Creus
  • Function : Author
  • PersonId : 910692

Abstract

Finding specific, valid, complete, and up-to-date information on the Web is a critical problem experienced daily by all users, regardless of their expertise. Many Web usage scenarios require access not only to good quality information but also to updates and new data when they become available. This paper presents an approach to support continuous Web information discovery by applying a powerful declarative semantic resource description for building domain-specific RSS mashups in the context of a distributed query-based RSS aggregation system.

Dates and versions

hal-01292037 , version 1 (22-03-2016)

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Gaïane Hochard, Zoé Lacroix, Bernd Amann, Jordi Creus. A Semantic Map of RSS Feeds to support Discovery. 3rd International Workshop on REsource Discovery, Nov 2010, Paris, France. pp.122-133, ⟨10.1007/978-3-642-27392-6_9⟩. ⟨hal-01292037⟩
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