xLiMe

xLiMe – crossLingual crossMedia knowledge extraction

Activity Code: ICT-2013.4.1
Project Reference: 611346
Coordinator: Karlsruher Institut für Technologie

Description:

Europe is different from other large media markets such as the US or China in that information is being generated in different languages and distributed via diverse streams of localized media channels. Automatic analysis is complicated further by different content types (audio, video, text) and different channels (mainstream, social media). Thus, information can only be analyzed independently for each dimension. This restricts the extractable knowledge and keeps it fragmented, which ultimately constrains the exchange of information. xLiMe proposes to extract knowledge from different media channels and languages and relate it to cross-lingual, cross-media knowledge bases. By doing this in near real-time we will provide a continuously updated and comprehensive view on knowledge diffusion across media, e.g., from European communities like Catalonia to worldwide content in English. Tools and methods developed in xLiMe will be applied in three complementary case studies and evaluated by several business clients and up to 10mio end users. We will augment more than 250 TV channels in different languages with up-to-date information from social media and news in near real-time, monitor brands and the diffusion of opinions across languages and media, and analyze online shop performance with regard to external cross-lingual, cross-media factors, like campaigns for brands and the emergence of public opinions. By combining speech recognition, natural language processing, machine learning and semantic technologies we will advance key open research problems, by extracting machine-readable knowledge (entities, sentiment, events and opinions) from multilingual, multimedia and social media content and integrate it with cross-lingual, cross-media knowledge bases, searching this knowledge with structured and unstructured queries in near real-time, monitoring its provenance, consumption and diffusion and analyzing the interdependency between media exposure and behavioral patterns.

Partners:

  • Zatto Europa AG, Switzerland
  • Vico research & consulting GmbH, Germany
  • Econda GmbH, Germany
  • Intelligent software components S.A., Spain
  • Universita degli studio di trento, Italy
  • Institut Jozef Stefan, Slovenia
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More information

The project in CORDIS

 

Project details

Start Date: 2013-11-01
End Date:   2016-10-31
EU Contribution:
EUR 2 987 000
Total Costs:
EUR 3 897 357
Funding Scheme:
Collaborative project (generic)
Adm. Contact Person:

Anja HESS (Mrs.)
Programme Acronym: FP7-ICT
Subprogramme Area: ICT-2013.4.1