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Complex Systems in Knowledge-based Environments: Theory, Models and Applications pp 75–98Cite as

Ontology Driven Data Integration in Heterogeneous Networks

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 168))

Abstract

We propose a layered framework for the integration of syntactically, schematically, and semantically heterogeneous networked data sources. Their heterogeneity stems from different models (e.g., relational, XML, or RDF), different schemas within the same model, and different terms associated with the same meaning. We use a semantic based approach that uses a global ontology to mediate among the schemas of the data sources. In our framework, a query is expressed in terms of one of the data sources or of the global ontology and is then translated into subqueries on the other data sources using mappings based on a common vocabulary. Metadata representation, global conceptualization, declarative mediation, mapping support, and query processing are addressed in detail in our discussion of a case study.

This research was supported in part by the National Science Foundation under Awards ITR IIS-0326284, IIS-0513553, and IIS-0812258.

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Author information

Authors and Affiliations

  1. ADVIS Lab Department of Computer Science, University of Illinois at Chicago, USA

    Isabel F. Cruz & Huiyong Xiao

Authors
  1. Isabel F. Cruz
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  2. Huiyong Xiao
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Editors and Affiliations

  1. Old Dominion University, Norfolk, VA, USA

    Andreas Tolk

  2. University of South Australia, Adelaide, Australia

    Lakhmi C. Jain

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Cruz, I.F., Xiao, H. (2009). Ontology Driven Data Integration in Heterogeneous Networks. In: Tolk, A., Jain, L.C. (eds) Complex Systems in Knowledge-based Environments: Theory, Models and Applications. Studies in Computational Intelligence, vol 168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88075-2_4

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  • DOI: https://doi.org/10.1007/978-3-540-88075-2_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88074-5

  • Online ISBN: 978-3-540-88075-2

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