Project Details

Emerging, Collective Intelligence for personal, organisational and social use

Project Period: 1. 4. 2008 – 31. 3. 2011

Project Type: grant

Code: 7E08063

Agency: Ministerstvo školství, mládeže a tělovýchovy ČR

Program: Podpora projektů sedmého rámcového programu Evropského společenství pro výzkum, technologický rozvoj a demonstrace (2007 až 2013) podle zákona č. 171/2007 Sb.

Czech title
Emerging, Collective Intelligence for personal, organisational and social use
Type
grant
Keywords

collective intelligence

Abstract

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.

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

2011

  • PŘIBYL, B.; ZEMČÍK, P. Simple Single View Scene Calibration. In Advanced Concepts for Intelligent Vision Systems. Lecture Notes in Computer Science. Lecture Notes in Computer Science. Ghent: Springer Verlag, 2011. no. 6915, p. 748-759. ISBN: 978-3-642-23686-0. ISSN: 0302-9743. Detail

2010

  • ZEMČÍK, P.; ZUZAŇÁK, J. Knowledge representation using graph grammar rewriting system. POSTER Papers proceedings. Plzeň, CZ: University of West Bohemia in Pilsen, 2010. p. 143-149. ISBN: 978-80-86943-85-5. Detail
  • ZUZAŇÁK, J.; LÁNÍK, A.; ZEMČÍK, P. Description of image content by means of graph grammars. POSTER Papers proceedings. Plzeň: University of West Bohemia in Pilsen, 2010. p. 43-47. ISBN: 978-80-86943-86-2. Detail

2009

  • GRÉZL, F.; KARAFIÁT, M.; BURGET, L. Investigation into bottle-neck features for meeting speech recognition. Proc. Interspeech 2009. Proceedings of Interspeech. Brighton: International Speech Communication Association, 2009. no. 9, p. 2947-2950. ISBN: 978-1-61567-692-7. ISSN: 1990-9772. Detail
Applied Results

2010

2009

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