Emerging, Collective Intelligence for personal, organisational and social use

Emerging, Collective Intelligence for personal, organisational and social use

grant

collective intelligence

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 organisations (Organisational
Intelligence).

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.

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
case studies 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.

Smrž Pavel, doc. RNDr., Ph.D. (DCGM) – research leader
Zemčík Pavel, prof. Dr. Ing., dr. h. c. (DCGM)