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Biomedical Resource Discovery Considering Semantic Heterogeneity in Data Grid Environments

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Integrated Computing Technology (INTECH 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 165))

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Abstract

Informatics application in biomedicine accumulates large amount of data constituting a big data source network. These sources are highly heterogeneous, dynamic and distributed in large scale environments. Resource discovery in such environments presents an important step for the SQL-query processing. Many research studies have focused on this issue. However, structural heterogeneity problems have been more widely studied than semantic ones. In this paper, we deal with the resource discovery in large-scale environments (as data grid systems) considering data semantic heterogeneity of biomedical sources. The main advantages of the proposed resource discovery method are: (i) allowing a permanent access, through an addressing system, from any domain ontology DOi to another DOj (inter-domain discovery) despite peers’ dynamicity, (ii) reducing the maintenance cost and (iii) taking into account the semantic heterogeneity.

This work was supported in part by the French National Research Agency ANR, PAIRSE Project, Grant number -09-SEGI-008.

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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 Cedex 9, 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. Federal University of São Carlos, CP 676, 13.565-905, São Carlos, SP, Brazil

    Estevam Rafael Hruschka Jr.

  2. Graduate School of Information, Production & Systems, Waseda University, 2-7 Hibikino, Wakamatsu, 808-0135, Kitakyushu, Japan

    Junzo Watada

  3. Universidade Federal de Sao Carlos /DC, C.P. 676 - 13565-905, S. Carlos, SP, Brazil

    Maria do Carmo Nicoletti

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Ketata, I., Mokadem, R., Morvan, F. (2011). Biomedical Resource Discovery Considering Semantic Heterogeneity in Data Grid Environments. In: Hruschka, E.R., Watada, J., do Carmo Nicoletti, M. (eds) Integrated Computing Technology. INTECH 2011. Communications in Computer and Information Science, vol 165. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22247-4_2

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  • DOI: https://doi.org/10.1007/978-3-642-22247-4_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22246-7

  • Online ISBN: 978-3-642-22247-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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