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Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/9656

Title: A Cooperative Paradigm for Fighting Information Overload
Author(s): Gayo Avello, Daniel
Álvarez Gutiérrez, Dario
Gayo Avello, José
Issue date: 2003
Publisher: Springer
Publisher version: http://dx.doi.org/10.1007/978-3-540-39737-3_29
Citation: Lecture Notes in Computer Science, 2869, p. 228-235(2003); doi:10.1007/978-3-540-39737-3_29
Format extent: p. 228-235
Abstract: The Web is mainly processed by humans. The role of the machines is just to transmit and display the contents of the documents, barely being able to do something else. Nowadays there are lots of initiatives trying to change this situation; many of them are related to fields like the Semantic Web [1] or Web Intelligence. In this paper we describe the Cooperative Web [2] that can be seen as a new proposal towards Web Intelligence. The Cooperative Web would allow us to extract semantics from the Web in an automatic way, without the need of ontological artifacts, with language independence and, besides of this, allowing the usage of browsing experience from individual users to serve the whole community of users.
Description: ISCIS XVIII - Eighteenth International Symposium on Computer and Information Sciences. Antalya, Turkey. November 3-5, 2003
URI: http://www.springerlink.com/content/wkqwcrvyj4mkbdtb/
ISSN: 0302-9743
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