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: Ministry of Education, Youth and Sports Czech Republic
Program: Podpora projektů sedmého rámcového programu Evropského společenství pro výzkum, technologický rozvoj a demonstrace (2007 až 2013) podle zákona č. 171/2007 Sb.
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.
Zemčík Pavel, prof. Dr. Ing. (UPGM FIT VUT) , team leader
2011
- PŘIBYL Bronislav and ZEMČÍK Pavel. Simple Single View Scene Calibration. In: Advanced Concepts for Intelligent Vision Systems. Lecture Notes in Computer Science. Ghent: Springer Verlag, 2011, pp. 748-759. ISBN 978-3-642-23686-0. ISSN 0302-9743. Detail
2010
- ZUZAŇÁK Jiří, LÁNÍK Aleš and ZEMČÍK Pavel. Description of image content by means of graph grammars. In: POSTER Papers proceedings. Plzeň: University of West Bohemia in Pilsen, 2010, pp. 43-47. ISBN 978-80-86943-86-2. Detail
- ZEMČÍK Pavel and ZUZAŇÁK Jiří. Knowledge representation using graph grammar rewriting system. In: POSTER Papers proceedings. Plzeň, CZ: University of West Bohemia in Pilsen, 2010, pp. 143-149. ISBN 978-80-86943-85-5. Detail
2009
- GRÉZL František, KARAFIÁT Martin and BURGET Lukáš. Investigation into bottle-neck features for meeting speech recognition. In: Proc. Interspeech 2009. Brighton: International Speech Communication Association, 2009, pp. 2947-2950. ISBN 978-1-61567-692-7. ISSN 1990-9772. Detail
2010
- CLucene indexing tool, software, 2010
Authors: Polok Lukáš, Smrž Pavel Detail - Graph Annotation Tool, software, 2010
Authors: Koriťák Jan, Láník Aleš, Zuzaňák Jiří, Přibyl Bronislav, Zemčík Pavel Detail - Image Processing Server, software, 2010
Authors: Zuzaňák Jiří, Přibyl Bronislav, Láník Aleš, Smrž Pavel Detail - Random Indexing on GPU, software, 2010
Authors: Polok Lukáš, Smrž Pavel Detail - Simple Single View Scene Calibration, software, 2010
Authors: Přibyl Bronislav, Zemčík Pavel Detail - Speech Tagging, software, 2010
Authors: Smrž Pavel, Schmidt Marek, Zuzaňák Jiří, Přibyl Bronislav, Navrátil Jan, Láník Aleš, Burget Lukáš, Cipr Tomáš, Fapšo Michal, Glembek Ondřej, Grézl František, Chalupníček Kamil, Karafiát Martin, Matějka Pavel, Schwarz Petr, Szőke Igor Detail