Managing Collective Intelligence in Semantic Communities of Interest

Managing Collective Intelligence in Semantic Communities of Interest

Stefano Montanelli (Università degli Studi di Milano, Italy), Silvana Castano (Università degli Studi di Milano, Italy), Alfio Ferrara (Università degli Studi di Milano, Italy) and Gaia Varese (Università degli Studi di Milano, Italy)
DOI: 10.4018/978-1-4666-1577-9.ch017
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Abstract

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.
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Reference P2p Architecture And Knowledge Model

In the field of P2P systems, the notion of community refers to the capability of the network to autonomously recognize and aggregate groups of peers with common interests and similar resources to share (Castano & Montanelli, 2005; Gu & Wei, 2006). We borrow this notion of P2P community and we define a semantic community of interest, from now on simply called CoI, as a community of peers where the term “semantic” denotes that the peers participating to the community agree on the “meaning” of the resources to share, and such a meaning is formalized through an ontology-based manifesto. The manifesto gives shape to the collective intelligence of a CoI, which is gradually set up in a collaborative way through progressive enrichments performed by all the community members.

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