Project detail

Emerging, Collective Intelligence for personal, organisational and social use

Duration: 01.04.2008 — 31.03.2011

Funding resources

Ministerstvo školství, mládeže a tělovýchovy ČR - Podpora projektů sedmého rámcového programu Evropského společenství pro výzkum, technologický rozvoj a demonstrace (2007 až 2013) podle zákona č. 171/2007 Sb.

- whole funder (2008-04-01 - 2011-03-31)

On the project

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.

Description in Czech
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).

Keywords
collective intelligence

Mark

7E08063

Default language

English

People responsible

Zemčík Pavel, prof. Dr. Ing., dr. h. c. - fellow researcher
Smrž Pavel, doc. RNDr., Ph.D. - principal person responsible

Units

Faculty of Information Technology
- beneficiary (2008-04-01 - 2011-03-31)

Results

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

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. p. 748-759. ISBN: 978-3-642-23686-0. ISSN: 0302-9743.
Detail

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. p. 2947-2950. ISBN: 978-1-61567-692-7. ISSN: 1990-9772.
Detail

POLOK, L.; SMRŽ, P.: RandomIngexing_GPU; Random Indexing on GPU. http://www.fit.vutbr.cz/research/prod/index.php?id=172. URL: http://www.fit.vutbr.cz/research/prod/index.php?id=172. (software)
Detail

KORIŤÁK, J.; LÁNÍK, A.; ZUZAŇÁK, J.; PŘIBYL, B.; ZEMČÍK, P.: GraphAnnotationTool; Graph Annotation Tool. http://www.fit.vutbr.cz/research/view_product.php?id=163. URL: http://www.fit.vutbr.cz/research/view_product.php?id=163. (software)
Detail

PŘIBYL, B.; ZEMČÍK, P.: SimpleSceneCalibration; Jednoduchá kalibrace scény z jediného snímku. http://www.fit.vutbr.cz/research/view_product.php?id=164. URL: http://www.fit.vutbr.cz/research/view_product.php?id=164. (software)
Detail

ZUZAŇÁK, J.; PŘIBYL, B.; LÁNÍK, A.; SMRŽ, P.: ImageProcessingServer; Image Processing Server. http://www.fit.vutbr.cz/research/view_product.php.cs?id=165. URL: http://www.fit.vutbr.cz/research/view_product.php.cs?id=165. (software)
Detail

SMRŽ, P.; SCHMIDT, M.; ZUZAŇÁK, J.; PŘIBYL, B.; NAVRÁTIL, J.; LÁNÍK, A.; BURGET, L.; CIPR, T.; FAPŠO, M.; GLEMBEK, O.; GRÉZL, F.; CHALUPNÍČEK, K.; KARAFIÁT, M.; MATĚJKA, P.; SCHWARZ, P.; SZŐKE, I.: SpeechTagging; Speech Tagging. http://www.fit.vutbr.cz/research/prod/index.php?id=157. URL: http://www.fit.vutbr.cz/research/prod/index.php?id=157. (software)
Detail

ZUZAŇÁK, J.; ZEMČÍK, P.: GraphIsomorphismDetector; Detektor isomorfismů grafů a podgrafů.    - http://www.fit.vutbr.cz/research/prod/index.php?id=102. URL: https://www.fit.vut.cz/research/product/102/. (software)
Detail

ZUZAŇÁK, J.; ZEMČÍK, P.: RapidPrototypingParserGenerator; Generátor pro rychlé prototypování překladačů. http://www.fit.vutbr.cz/research/prod/index.php?id=101. URL: http://www.fit.vutbr.cz/research/prod/index.php?id=101. (software)
Detail

POLOK, L.; SMRŽ, P.: CLucene_indexer; CLucene indexing tool. http://www.fit.vutbr.cz/research/prod/index.php?id=177. URL: http://www.fit.vutbr.cz/research/prod/index.php?id=177. (software)
Detail

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