Managing Collective Intelligence in Semantic Communities of Interest

In this paper, the authors present a reference P2P architecture based on autonomous, self-emerging semantic communities of interest (CoIs) for collective intelligence creation and management. An approach for enabling knowledge organization and management at the level of a single peer is presented in...

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Veröffentlicht in:International journal of organizational and collective intelligence 2010-10, Vol.1 (4), p.40-60
Hauptverfasser: Ferrara, Alfio, Montanelli, Stefano, Castano, Silvana, Varese, Gaia
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container_end_page 60
container_issue 4
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container_title International journal of organizational and collective intelligence
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creator Ferrara, Alfio
Montanelli, Stefano
Castano, Silvana
Varese, Gaia
description In this paper, the authors present a reference P2P architecture based on autonomous, self-emerging semantic communities of interest (CoIs) for collective intelligence creation and management. An approach for enabling knowledge organization and management at the level of a single peer is presented in the paper, as well as techniques for supporting a peer to participate to the construction of a shared community vocabulary, according to the terminological preferences automatically extracted from its personal knowledge. Furthermore, an application example in the e-health domain is presented in the framework of the iCoord system for P2P semantic coordination to show the use of a manifesto-based collective intelligence for enforcing effective collaboration in a real case study.
doi_str_mv 10.4018/joci.2010100103
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subjects Autonomous
Communities
Computer supported cooperative work
Construction
Information communication
Intelligence
Intelligence (information)
Knowledge management
Management
Medical informatics
Organizations
Semantics
Swarm intelligence
title Managing Collective Intelligence in Semantic Communities of Interest
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