Faculty of Information Technology, BUT

Publication Details

Collective Intelligence Generation from User Contributed Content

SOLACHIDIS Vassilios, MYLONAS Phivos, GEYER-SCHULTZ Andreas, HOSER Betina, CHAPMAN Sam, CIRAVEGNA Fabio, LANFRANCHI Vita, SCHERP Ansgar, STAAB Stefen, CONTOPOULOS Costis, GKIKA Ioanna, BAKAIMIS Byron, SMRŽ Pavel, KOMPATSIARIS Yiannis and AVRITHIS Yannis. Collective Intelligence Generation from User Contributed Content. Advances in Data Analysis, Data Handling and Business Intelligence. Studies in Classification, Data Analysis, and Knowledge Organization. Berlin: Springer Verlag, 2010, pp. 765-774. ISBN 978-3-642-01043-9.
Czech title
Collective Intelligence Generation from User Contributed Content
Type
book chapter
Language
english
Authors
Solachidis Vassilios (CRTH)
Mylonas Phivos (NTUA)
Geyer-Schultz Andreas (DEBE-KR)
Hoser Betina (DEBE-KR)
Chapman Sam (USF)
Ciravegna Fabio (USF)
Lanfranchi Vita (USF)
Scherp Ansgar (UNIKobl)
Staab Stefen (UNIKobl)
Contopoulos Costis (VODAGR)
Gkika Ioanna (VODAGR)
Bakaimis Byron (VODAGR)
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT)
Kompatsiaris Yiannis (CRTH)
Avrithis Yannis (CRTH)
Keywords
Collective intelligence, media intelligence, social intelligence,
mass intelligence, organizational intelligence, personal intelligence
Abstract
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 into account. In the context of this work,
we  present two case studies an Emergency
Response and a Consumers Social Group case
study.

Published
2010
Pages
765-774
Book
Advances in Data Analysis, Data Handling and Business Intelligence
Series
Studies in Classification, Data Analysis, and Knowledge Organization
ISBN
978-3-642-01043-9
Publisher
Springer Verlag
Place
Berlin, DE
BibTeX
@INBOOK{FITPUB9008,
   author = "Vassilios Solachidis and Phivos Mylonas and Andreas Geyer-Schultz and Betina Hoser and Sam Chapman and Fabio Ciravegna and Vita Lanfranchi and Ansgar Scherp and Stefen Staab and Costis Contopoulos and Ioanna Gkika and Byron Bakaimis and Pavel Smr\v{z} and Yiannis Kompatsiaris and Yannis Avrithis",
   title = "Collective Intelligence Generation from User Contributed Content",
   pages = "765--774",
   booktitle = "Advances in Data Analysis, Data Handling and Business Intelligence",
   series = "Studies in Classification, Data Analysis, and Knowledge Organization",
   year = 2010,
   location = "Berlin, DE",
   publisher = "Springer Verlag",
   ISBN = "978-3-642-01043-9",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9008"
}
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