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News engine web services

Objetivo

The goal of the NEWS project is to develop News Intelligence Technology for the Semantic Web. Its main purpose is to extend the reach and delivery capabilities of online content provision and syndication services by supporting advanced personalized news discovery, analysis and presentation, and fostering interoperability across the news content provision and fruition lifecycle. News content provision and syndication services have started to adopt basic information filtering tools, but go little beyond basic search and categorization.

There is still an abyssal gap between the need of users to personalise content selection and presentation, and what the news industry can offer. In keeping with the 'Semantic-based Knowledge Systems' strategic objective, NEWS addresses these shortcomings through a program of research and development aimed at Using Semantic Web standards to define ontologies for the news industry; Implementing an ontological annotation component which automatically applies Semantic Web standards for the news industry to newswires; Developing news intelligence components with multilingual and multimedia capabilities, which use automatic ontological annotation to support semantic-based analysis, personalisation and delivery of knowledge from newswires, and Integrating ontological annotation and news intelligence components as Web services into a standard interoperable platform that enables end users and applications alike to find and utilise service components dynamically.

With the achievement of these objectives, NEWS endeavours to exert leverage on the European news industry to make available to users a host of cutting edge semantic-based Web services that are composable, interoperable and able to negotiate with each other. Such an orientation attends to the key IST objectives in FP6, by promoting European leadership in innovative news intelligence technologies and offering EU citizens wider and deeper access to news content.

Convocatoria de propuestas

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Coordinador

DEUTSCHES FORSCHUNGSZENTRUM FUER KUENSTLICHE INTELLIGENZ GMBH
Aportación de la UE
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Dirección
ERWIN-SCHROEDINGER-STRASSE 57
67663 KAISERSLAUTERN
Alemania

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Coste total
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Participantes (4)