Detail publikace

Collective Intelligence Generation from User Contributed Content

Originální název

Collective Intelligence Generation from User Contributed Content

Anglický název

Collective Intelligence Generation from User Contributed Content

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

BibTex


@inbook{BUT55770,
  author="Vassilios {Solachidis} and Phivos {Mylonas} and Andreas {Geyer-Schultz} and Betina {Hoser} and Sam {Chapman} and Fabio {Ciravenga} and Vita {Lanfranchi} and Ansgar {Scherp} and Stefen {Staab} and Costis {Contopoulos} and Ioanna {Gkika} and Byron {Bakaimis} and Pavel {Smrž} and Yiannis {Kompatsiaris} and Yannis {Avrithis}",
  title="Collective Intelligence Generation from User Contributed Content",
  annote="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.",
  address="Springer Verlag",
  booktitle="Advances in Data Analysis, Data Handling and Business Intelligence",
  chapter="55770",
  edition="Studies in Classification, Data Analysis, and Knowledge Organization",
  howpublished="print",
  institution="Springer Verlag",
  year="2010",
  month="january",
  pages="765--774",
  publisher="Springer Verlag",
  type="book chapter"
}