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LIDER: Linked Data as an enabler of cross-media and multilingual content analytics for enterprises across Europe

Descrizione del progetto


Content analytics and language technologies

The explosive growth of content in volume, velocity and variety on the Web demands new approaches to content analytics, addressing issues in large scale analysis and interpretation of heterogeneous data sets, originating in different media, human languages, jurisdictions, etc. Among these, language diversity in particular has become a ubiquitous aspect of the Web in light of increasing globalization. Recently, semantic-level, i.e. language- and media-independent, data analysis and representation methods such as those provided by Linked Data and Semantic Web technologies, have been introduced to provide innovative content analytics solutions for such heterogeneous, multilingual and multimedia content. An important missing component however, is the representation of language- and media-specific information that will be needed for interpreting such data correctly - across different media and across the increasing variety of human languages used nowadays on the Web. In this proposal we therefore aim at addressing this missing component by providing an ecosystem for the establishment of a new Linked Open Data (LOD) based ecosystem of free, interlinked, and semantically interoperable language (corpora, dictionaries, lexical and syntactic metadata, etc.) and media (image, video, etc. metadata) resources that will allow for free and open exploitation of such resources in multilingual, cross-media content analytics across the EU and beyond, with specific use cases in different industries.LIDER addresses three key objectives:1. To support multilingual and multimedia content analytics in enterprises.2. To provide a discussion platform for the development of novel LOD based multilingual, cross-media content analytics systems that will be able to use Free, Open and Interoperable language and media resources and services.3. To reach consensus on short and long term goals in LOD-based multilingual, cross-media content analytics in enterprises.

Invito a presentare proposte

FP7-ICT-2013-10
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Meccanismo di finanziamento

CSA - Coordination and support action

Coordinatore

UNIVERSIDAD POLITECNICA DE MADRID
Contributo UE
€ 476 858,00
Indirizzo
CALLE RAMIRO DE MAEZTU 7 EDIFICIO RECTORADO
28040 Madrid
Spagna

Mostra sulla mappa

Regione
Comunidad de Madrid Comunidad de Madrid Madrid
Tipo di attività
Higher or Secondary Education Establishments
Contatto amministrativo
Asunción Gómez-Pérez (Prof.)
Collegamenti
Costo totale
Nessun dato

Partecipanti (7)