Emerging, collective intelligence for personal, organisational and social use

Diplaris, S; Sonnenbichler, A; Kaczanowski, T; Mylonas, P; Scherp, A; Janik, M; Papadopoulos, S; Ovelgoenne, M; Kompatsiaris, Y

dc.contributor.author	Diplaris, S	en
dc.contributor.author	Sonnenbichler, A	en
dc.contributor.author	Kaczanowski, T	en
dc.contributor.author	Mylonas, P	en
dc.contributor.author	Scherp, A	en
dc.contributor.author	Janik, M	en
dc.contributor.author	Papadopoulos, S	en
dc.contributor.author	Ovelgoenne, M	en
dc.contributor.author	Kompatsiaris, Y	en
dc.date.accessioned	2014-03-01T02:01:58Z
dc.date.available	2014-03-01T02:01:58Z
dc.date.issued	2011	en
dc.identifier.issn	1860949X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29280
dc.title	Emerging, collective intelligence for personal, organisational and social use	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/978-3-642-20344-2_20	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-20344-2_20	en
heal.publicationDate	2011	en
heal.abstract	The main objective of this chapter is to present novel technologies 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. User contributed content is analysed by integrating research and development in media analysis, mass content processing, user feedback, social analysis and knowledge management to automatically extract the hidden intelligence and make it accessible to end users and organisations. The exploitation of the emerging Collective Intelligence results is showcased in two distinct case studies: an Emergency Response and a Consumers Social Group case study. © 2011 Springer-Verlag Berlin Heidelberg.	en
heal.journalName	Studies in Computational Intelligence	en
dc.identifier.doi	10.1007/978-3-642-20344-2_20	en
dc.identifier.volume	352	en
dc.identifier.spage	527	en
dc.identifier.epage	573	en