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 |
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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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issn | 1947-9344 1947-9352 |
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source | ProQuest Central UK/Ireland; Alma/SFX Local Collection; ProQuest Central |
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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