Collective Intelligence Generation from User Contributed Content

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU82659" target="_blank" >RIV/00216305:26230/10:PU82659 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Collective Intelligence Generation from User Contributed Content
Original language description
In this paper we provide a foundation for a new generation of services and tools. We define new ways of capturing, sharing and reusing information and intelligence provided by single users and communities, as well as organizations by enabling the extraction, generation, interpretation and management of Collective Intelligence from user generated digital multimedia content. Different layers of intelligence are generated, which together constitute the notion of Collective Intelligence. The automatic generation of Collective Intelligence constitutes a departure from traditional methods for information sharing, since information from both the multimedia content and social aspects will be merged, while at the same time the social dynamics will be taken intoaccount. In the context of this work, we present two case studies an Emergency Response and a Consumers Social Group case study.
Czech name
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Czech description
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Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name
Advances in Data Analysis, Data Handling and Business Intelligence
ISBN
978-3-642-01043-9
Number of pages of the result
10
Pages from-to
765-774
Number of pages of the book
1000
Publisher name
Springer Verlag
Place of publication
Berlin
UT code for WoS chapter
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