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

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

Objective

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.
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Coordinator

UNIVERSIDAD POLITECNICA DE MADRID

Address

Calle Ramiro De Maeztu 7 Edificio Rectorado
28040 Madrid

Spain

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 476 858

Administrative Contact

Asunción Gómez-Pérez (Prof.)

Participants (7)

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DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH

Germany

EU Contribution

€ 89 612

INSTITUT FUR ANGEWANDTE INFORMATIK (INFAI) EV

Germany

EU Contribution

€ 218 280

UNIVERSITAET BIELEFELD

Germany

EU Contribution

€ 166 920

GEIE ERCIM

France

EU Contribution

€ 123 435

NATIONAL UNIVERSITY OF IRELAND GALWAY

Ireland

EU Contribution

€ 115 760

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN

Ireland

EU Contribution

€ 199 650

UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA

Italy

EU Contribution

€ 91 485

Project information

Grant agreement ID: 610782

Status

Closed project

  • Start date

    1 November 2013

  • End date

    31 December 2015

Funded under:

FP7-ICT

  • Overall budget:

    € 1 883 984

  • EU contribution

    € 1 482 000

Coordinated by:

UNIVERSIDAD POLITECNICA DE MADRID

Spain