xLiMe

xLiMe – crossLingual crossMedia knowledge extraction

Coordinatore	Karlsruher Institut fuer Technologie    more  Organization address address: KIT-Campus Sued, Institute AIFB, Building 11.40 12 city: Karlsruhe postcode: 76131 contact info Titolo: Mrs. Nome: Anja Cognome: Hess Email: send email Telefono: +49 721 608 43705 Fax: +49 721 608 46580
Nazionalità Coordinatore	Germany [DE]
Totale costo	3˙897˙357 €
EC contributo	2˙987˙000 €
Programma	FP7-ICT Specific Programme "Cooperation": Information and communication technologies
Code Call	FP7-ICT-2013-10
Funding Scheme	CP
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-11-01   -   2016-10-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	Karlsruher Institut fuer Technologie  Organization address address: KIT-Campus Sued, Institute AIFB, Building 11.40 12 city: Karlsruhe postcode: 76131 contact info Titolo: Mrs. Nome: Anja Cognome: Hess Email: send email Telefono: +49 721 608 43705 Fax: +49 721 608 46580	DE (Karlsruhe)	coordinator	0.00
2	ECONDA GMBH  Organization address address: EISENLOHRSTRASSE 43 city: KARLSRUHE postcode: 76135 contact info Nome: Antje Cognome: Siebarth Email: send email Telefono: +49 721 663035461 Fax: +49 721 66303510	DE (KARLSRUHE)	participant	0.00
3	INSTITUT JOZEF STEFAN  Organization address address: Jamova 39 city: LJUBLJANA postcode: 1000 contact info Titolo: Prof. Nome: Jadran Cognome: Lenar?i? Email: send email Telefono: +386 1 4773513 Fax: +386 1 2519385	SI (LJUBLJANA)	participant	0.00
4	INTELLIGENT SOFTWARE COMPONENTS S.A.  Organization address address: AVENIDA TORRE BLANCA 57 3C15 city: SANT CUGAT DEL VALLES postcode: 8172 contact info Titolo: Mr. Nome: Francesc Cognome: Caballero Sánchez Email: send email Telefono: 34935677249	ES (SANT CUGAT DEL VALLES)	participant	0.00
5	UNIVERSITA DEGLI STUDI DI TRENTO  Organization address address: VIA CALEPINA 14 city: TRENTO postcode: 38122 contact info Titolo: Ms. Nome: Mirella Cognome: Collini Email: send email Telefono: +39 0461 281634 Fax: +39 0461 281699	IT (TRENTO)	participant	0.00
6	VICO RESEARCH & CONSULTING GMBH  Organization address address: FRIEDRICH LIST STRASSE 46 city: LEINFELDEN ECHTERDINGEN postcode: 70771 contact info Titolo: Mrs. Nome: Yuliya Cognome: Mossiyevskikh Email: send email Telefono: +49 711 78 78 29 0 Fax: +49 711 78 78 29 10	DE (LEINFELDEN ECHTERDINGEN)	participant	0.00
7	Zattoo Deutschland GmbH  Organization address address: WARSCHAUER STR 70 city: BERLIN postcode: 10243 contact info Titolo: Mr. Nome: Joerg Cognome: Schindler Email: send email Telefono: +41 43 500 21 00 Fax: +41 43 500 21 11	DE (BERLIN)	participant	0.00
8	ZATTOO EUROPA AG  Organization address address: EGGBUHLSTRASSE 28 city: ZURICH postcode: 8050 contact info Titolo: Ms. Nome: Bea Cognome: Knecht Email: send email Telefono: +41 43 500 21 21 Fax: +41 43 500 21 11	CH (ZURICH)	participant	0.00

Mappa

 Word cloud

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 Obiettivo del progetto (Objective)

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 localised 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 analysed 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 will1.taugment more than 250 TV channels in different languages with up-to-date information from social media and news in near real-time,2.tmonitor brands and the diffusion of opinions across languages and media, and3.tanalyse 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, by1.textracting 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,2.tsearching this knowledge with structured and unstructured queries in near real-time,3.tmonitoring its provenance, consumption and diffusion and4.tanalysing the interdependency between media exposure and behavioural patterns.