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Ontology-Based Clustering in a Peer Data Management System

Ontology-Based Clustering in a Peer Data Management System

Carlos Eduardo Santos Pires (Federal University of Campina Grande (UFCG), Brazil), Rocir Marcos Leite Santiago (Federal University of Pernambuco (UFPE), Brazil), Ana Carolina Salgado (Federal University of Pernambuco (UFPE), Brazil), Zoubida Kedad (University of Versailles St Quentin en Yvelines (UVSQ), France), and Mokrane Bouzeghoub (University of Versailles St Quentin en Yvelines (UVSQ), France)
Copyright: © 2012 |Volume: 3 |Issue: 2 |Pages: 21
ISSN: 1947-3532|EISSN: 1947-3540|EISBN13: 9781466611764|DOI: 10.4018/jdst.2012040101
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MLA

Pires, Carlos Eduardo Santos, et al. "Ontology-Based Clustering in a Peer Data Management System." IJDST vol.3, no.2 2012: pp.1-21. https://doi.org/10.4018/jdst.2012040101

APA

Pires, C. E., Santiago, R. M., Salgado, A. C., Kedad, Z., & Bouzeghoub, M. (2012). Ontology-Based Clustering in a Peer Data Management System. International Journal of Distributed Systems and Technologies (IJDST), 3(2), 1-21. https://doi.org/10.4018/jdst.2012040101

Chicago

Pires, Carlos Eduardo Santos, et al. "Ontology-Based Clustering in a Peer Data Management System," International Journal of Distributed Systems and Technologies (IJDST) 3, no.2: 1-21. https://doi.org/10.4018/jdst.2012040101

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Abstract

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. Query answering in PDMSs can be improved if peers are efficiently disposed in the overlay network according to the similarity of their content. The set of peers can be partitioned into clusters, so as the semantic similarity among the peers participating into the same cluster is maximal. The creation and maintenance of clusters is a challenging problem in the current stage of development of PDMSs. This work proposes an incremental peer clustering process. The authors present a PDMS architecture designed to facilitate the connection of new peers according to their exported schema described by an ontology. The authors propose a clustering process and the underlying algorithm. The authors present and discuss some experimental results on peer clustering using the approach.

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