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Resource Discovery Considering Semantic Properties in Data Grid Environments

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Data Management in Grid and Peer-to-Peer Systems (Globe 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6864))

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Abstract

This paper deals with resource discovery in data Grid environments while taking into account the semantic heterogeneity of data sources. A domain ontology is associated to each domain and mappings exist between these domain ontologies. Our resource discovery method is adapted to any mapping graph topology between domain ontologies provided that the graph is connected. The proposed addressing system allows permanent access from any domain ontology to another despite the dynamicity of nodes. The performance evaluation of the proposed method proved the discovery cost reduction especially for inter-ontology queries. They also provide a significant maintenance costs reduction of such system especially when peers frequently join / leave the system.

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Authors and Affiliations

  1. Institut de Recherche en Informatique de Toulouse (IRIT), Paul Sabatier University, 118 Route de Narbonne, F-31062, Toulouse, France

    Imen Ketata, Riad Mokadem & Franck Morvan

Authors
  1. Imen Ketata
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  2. Riad Mokadem
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  3. Franck Morvan
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Editor information

Editors and Affiliations

  1. Institut de Recherche en Informatique de Toulouse (IRIT), Paul Sabatier University, 118, route de Narbonne, 31062, Toulouse Cedex, France

    Abdelkader Hameurlain

  2. Institut für Softwaretechnik, Technische Universität Wien, Favoritenstr. 9-11/188, 1040, Wien, Austria

    A Min Tjoa

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Ketata, I., Mokadem, R., Morvan, F. (2011). Resource Discovery Considering Semantic Properties in Data Grid Environments. In: Hameurlain, A., Tjoa, A.M. (eds) Data Management in Grid and Peer-to-Peer Systems. Globe 2011. Lecture Notes in Computer Science, vol 6864. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22947-3_6

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  • DOI: https://doi.org/10.1007/978-3-642-22947-3_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22946-6

  • Online ISBN: 978-3-642-22947-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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