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Clustering Peers in Semantic Communities - Carlos Eduardo Pires
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Carlos Eduardo Pires:
Clustering Peers in Semantic Communities - Livres de poche

2010, ISBN: 3838372301

ID: 9612582052

[EAN: 9783838372303], Neubuch, [PU: Lap Lambert Acad. Publ. Jun 2010], This item is printed on demand - Print on Demand Titel. - Peer Data Management Systems (PDMSs) are advanced P2P applications in which each peer represents an autonomous data source making available an exported schema to be shared with other peers. The most studied data management issues on PDMSs are related to schema mappings and query answering. These issues can be improved if peers are efficiently disposed in the overlay network. In this context, the notion of semantic community in PDMSs is of great importance since it aims at logically approximating peers with common interests about a specific domain. Due to the dynamic behavior of peers in P2P systems, the management of semantic communities is a challenging issue in the current stage of development of PDMSs. This work proposes an ontology-based process to cluster semantically similar peers in a PDMS. Peers are organized according to their corresponding exported schema (an ontology) and ontology management services are used to assist peer connection. Experimental results on peer clustering are presented and discussed. 148 pp. Englisch

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Clustering Peers in Semantic Communities - Carlos Eduardo Pires
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Clustering Peers in Semantic Communities - nouveau livre

ISBN: 9783838372303

ID: b0c4b5d6776298b4ee4936f60bf7c5bc

Peer Data Management Systems (PDMSs) are advanced P2P applications in which each peer represents an autonomous data source making available an exported schema to be shared with other peers. The most studied data management issues on PDMSs are related to schema mappings and query answering. These issues can be improved if peers are efficiently disposed in the overlay network. In this context, the notion of semantic community in PDMSs is of great importance since it aims at logically approximating peers with common interests about a specific domain. Due to the dynamic behavior of peers in P2P systems, the management of semantic communities is a challenging issue in the current stage of development of PDMSs. This work proposes an ontology-based process to cluster semantically similar peers in a PDMS. Peers are organized according to their corresponding exported schema (an ontology) and ontology management services are used to assist peer connection. Experimental results on peer clustering are presented and discussed. Buch / Broschur

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Clustering Peers in Semantic Communities - Pires, Carlos Eduardo
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Pires, Carlos Eduardo:
Clustering Peers in Semantic Communities - Livres de poche

2010, ISBN: 9783838372303

ID: 2141969&WAN=10022&WBT=28664&WMID=W000000443

2010. ; KT ; Pires:Clustering Peers in Semantic Comm Peer Data Management Systems (PDMSs) are advanced P2P applications in which each peer represents an autonomous data source making available an exported schema to be shared with other peers. The most studied data management issues on PDMSs are related to schema mappings and query answering. These issues can be improved if peers are efficiently disposed in the overlay network. In this context, the notion of semantic community in PDMSs is of great importance since it aims at logically approximating Buch Taschenbuch

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Clustering Peers in Semantic Communities - Pires, Carlos Eduardo
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Pires, Carlos Eduardo:
Clustering Peers in Semantic Communities - Livres de poche

2010, ISBN: 9783838372303

ID: 2141969&WAN=10022&WBT=28664&WMID=W000000443

2010. ; KT ; Pires:Clustering Peers in Semantic Comm Peer Data Management Systems (PDMSs) are advanced P2P applications in which each peer represents an autonomous data source making available an exported schema to be shared with other peers. The most studied data management issues on PDMSs are related to schema mappings and query answering. These issues can be improved if peers are efficiently disposed in the overlay network. In this context, the notion of semantic community in PDMSs is of great importance since it aims at logically approximating Buch Taschenbuch

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Clustering Peers in Semantic Communities - Pires, Carlos Eduardo
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Pires, Carlos Eduardo:
Clustering Peers in Semantic Communities - Livres de poche

2010, ISBN: 3838372301

Edition reliée, ID: 8057168

Putting together semantically similar peers according to their exported schema - Buch, gebundene Ausgabe, 148 S., Beilagen: Paperback, Erschienen: 2010 LAP Lambert Acad. Publ.

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Clustering Peers in Semantic Communities

Peer Data Management Systems (PDMSs) are advanced P2P applications in which each peer represents an autonomous data source making available an exported schema to be shared with other peers. The most studied data management issues on PDMSs are related to schema mappings and query answering. These issues can be improved if peers are efficiently disposed in the overlay network. In this context, the notion of semantic community in PDMSs is of great importance since it aims at logically approximating peers with common interests about a specific domain. Due to the dynamic behavior of peers in P2P systems, the management of semantic communities is a challenging issue in the current stage of development of PDMSs. This work proposes an ontology-based process to cluster semantically similar peers in a PDMS. Peers are organized according to their corresponding exported schema (an ontology) and ontology management services are used to assist peer connection. Experimental results on peer clustering are presented and discussed.

Informations détaillées sur le livre - Clustering Peers in Semantic Communities


EAN (ISBN-13): 9783838372303
ISBN (ISBN-10): 3838372301
Version reliée
Livre de poche
Date de parution: 2010

Livre dans la base de données depuis 23.02.2008 09:40:39
Livre trouvé récemment le 12.04.2014 06:00:01
ISBN/EAN: 3838372301

ISBN - Autres types d'écriture:
3-8383-7230-1, 978-3-8383-7230-3


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