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Erschienen in: Journal of Intelligent Information Systems 2/2011

01.04.2011

The ESTEEM platform: enabling P2P semantic collaboration through emerging collective knowledge

verfasst von: Stefano Montanelli, Devis Bianchini, Carola Aiello, Roberto Baldoni, Cristiana Bolchini, Silvia Bonomi, Silvana Castano, Tiziana Catarci, Valeria De Antonellis, Alfio Ferrara, Michele Melchiori, Elisa Quintarelli, Monica Scannapieco, Fabio A. Schreiber, Letizia Tanca

Erschienen in: Journal of Intelligent Information Systems | Ausgabe 2/2011

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Abstract

In this paper, we present Esteem (Emergent Semantics and cooperaTion in multi-knowledgE EnvironMents), a community-based P2P platform for supporting semantic collaboration among a set of independent peers, without prior reciprocal knowledge and no predefined relationships. Goal of Esteem is to go beyond the existing state-of-the-art solutions for P2P knowledge sharing and to provide an integrated platform for both data and service discovery. A distinguishing feature of Esteem is the use of semantic communities to explicitly give shape to the collective knowledge and expertise of peer groups with similar interests. Key techniques of Esteem will be presented in the paper and concern: shuffling-based communication, ontology and service matchmaking, context management, and quality-aware data integration. An application example of data and service discovery in the health-care domain will be presented, by also discussing results of system and user evaluation.

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Metadaten
Titel
The ESTEEM platform: enabling P2P semantic collaboration through emerging collective knowledge
verfasst von
Stefano Montanelli
Devis Bianchini
Carola Aiello
Roberto Baldoni
Cristiana Bolchini
Silvia Bonomi
Silvana Castano
Tiziana Catarci
Valeria De Antonellis
Alfio Ferrara
Michele Melchiori
Elisa Quintarelli
Monica Scannapieco
Fabio A. Schreiber
Letizia Tanca
Publikationsdatum
01.04.2011
Verlag
Springer US
Erschienen in
Journal of Intelligent Information Systems / Ausgabe 2/2011
Print ISSN: 0925-9902
Elektronische ISSN: 1573-7675
DOI
https://doi.org/10.1007/s10844-010-0125-4

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