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.

Popis česky
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).

Klíčová slova
collective intelligence

7E08063

angličtina

Smrž Pavel, doc. RNDr., Ph.D. - hlavní řešitel

Fakulta informačních technologií
- odpovědné pracoviště (1.1.1989 - nezadáno)
Ústav počítačové grafiky a multimédií
- odpovědné pracoviště (11.2.2008 - nezadáno)
Výzkumná skupina znalostních technologií
- interní (11.2.2008 - 31.3.2011)
Ústav počítačové grafiky a multimédií
- spolupříjemce (11.2.2008 - 31.3.2011)
Fakulta informačních technologií
- příjemce (1.4.2008 - 31.3.2011)

KORIŤÁK, J.; LÁNÍK, A.; ZUZAŇÁK, J.; PŘIBYL, B.; ZEMČÍK, P.: xx; Graph Annotation Tool. xx. URL: http://www.fit.vutbr.cz/research/view_product.php?id=163. (Software)
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ZUZAŇÁK, J.; PŘIBYL, B.; LÁNÍK, A.; SMRŽ, P.: xx; Image Processing Server. xx. URL: http://www.fit.vutbr.cz/research/view_product.php.cs?id=165. (Software)
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POLOK, L.; SMRŽ, P.: xx; CLucene indexing tool. xx. URL: http://www.fit.vutbr.cz/research/prod/index.php?id=177. (Software)
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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.: xx; Speech Tagging. xx. URL: http://www.fit.vutbr.cz/research/prod/index.php?id=157. (Software)
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ZUZAŇÁK, J.; ZEMČÍK, P.: xx; Detektor isomorfismů grafů a podgrafů. xx. URL: https://www.fit.vut.cz/research/product/102/. (Software)
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PŘIBYL, B.; ZEMČÍK, P.: xx; Jednoduchá kalibrace scény z jediného snímku. xx. URL: http://www.fit.vutbr.cz/research/view_product.php?id=164. (Software)
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POLOK, L.; SMRŽ, P.: xx; Random Indexing on GPU. xx. URL: http://www.fit.vutbr.cz/research/prod/index.php?id=172. (Software)
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ZUZAŇÁK, J.; ZEMČÍK, P.: xx; Generátor pro rychlé prototypování překladačů. xx. URL: http://www.fit.vutbr.cz/research/prod/index.php?id=101. (Software)
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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.
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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.
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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.
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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

Odpovědnost: Smrž Pavel, doc. RNDr., Ph.D.