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WeKnowIt

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Emerging collective intelligence for personal organizational and social use

Due to advances in communications, mobile devices and Web technologies, it is nowadays easy for users and organizations to generate and share content, individually or within communities. However, such digital content rapidly reach... see more

31/03/2011

CENTRE FOR RESEARC...

8M€

Project Budget: 8M€

Project leader

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAP... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

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Financing granted El organismo FP7 notifico la concesión del proyecto The day 2011-03-31 We do not have the information of the call

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characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

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10 Participantes

CENTRE FOR RESEARCH AND TECH...

0.00€ | Leader

PANAFON

N.D. | participant

UNI KO

N.D. | participant

SMIND

N.D. | participant

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Project leader

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAP... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 8M€

participation deadline Sin fecha límite de participación.

Project description Due to advances in communications, mobile devices and Web technologies, it is nowadays easy for users and organizations to generate and share content, individually or within communities. However, such digital content rapidly reaches a mass that makes relevant information extremely complex and costly to handle. Yet, current applications do not fully support intelligent processing and management of such information. Thus, users fail to access it efficiently and cannot exploit the underlying knowledge.<br/>The main objective of WeKnowIt is to develop novel techniques for exploiting multiple layers of intelligence from user-contributed content, which together constitute Collective Intelligence, a form of intelligence that emerges from the collaboration and competition among many individuals, and that seemingly has a mind of its own. To this end, input from various sources is analysed and combined: from digital content items and contextual information (Media Intelligence), massive user feedback (Mass Intelligence), and users social interaction (Social Intelligence) so as to benefit end-users (Personal Intelligence) and organizations (Organisational Intelligence).<br/>The automatic generation of Collective Intelligence constitutes a departure from traditional methods for information sharing, since for example, semantic analysis has to fuse information from both the content itself and the social context, while at the same time the social dynamics have to be taken into account. Such intelligence provides added-value to the available content and renders existing procedures and workflows more efficient.<br/>WeKnowIt will demonstrate the wide applicability of its achievements through the elaboration on two distinct case studies: an Emergency Response and a Consumers Social Group case study. The two use cases pertain to different topics, target at a wide range of intended users and involve heterogeneous business models so that WeKnowIt achieves the highest possible social impact.

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