Due to the characteristics of Peer-to-Peer systems, SQL query processing in these systems is more complex than traditional distributed DBMS. In this context, semantic and structural heterogeneity of local schemas create a real problem for locating data sources. Schema heterogeneity prevents peers to exchange their data in a comprehensive way. It could lead to incorrect answers for the localization query. In this paper, we propose O-Chord method which integrates domain ontology in Chord protocol [22]. This integration provides comprehensive data exchange while carrying out efficient data sources localization. Our proposed method allows Chord protocol to select the relevant data sources to answer the localization query. © Springer Science+Business Media B.V. 2008.
CITATION STYLE
Al King, R., Hameurlain, A., & Morvan, F. (2008). O-Chord: A method for locating relational data sources in a P2P environment. In Advances in Computer and Information Sciences and Engineering (pp. 416–421). https://doi.org/10.1007/978-1-4020-8741-7_75
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