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Semantic Integration and Query Optimization of Heterogeneous Data Sources*

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Abstract

In modern Internet/Intranet-based architectures, an increasing number of applications requires an integrated and uniform access to a multitude of heterogeneous and distributed data sources. In this paper, we describe the ARTEMIS/MOMIS system for the semantic integration and query optimization of heterogeneous structured and semistructured data sources.

This paper has been partially funded by MIUR COFIN2000 D2I project.

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Beneventano, D. et al. (2002). Semantic Integration and Query Optimization of Heterogeneous Data Sources* . In: Bruel, JM., Bellahsene, Z. (eds) Advances in Object-Oriented Information Systems. OOIS 2002. Lecture Notes in Computer Science, vol 2426. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46105-1_19

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  • DOI: https://doi.org/10.1007/3-540-46105-1_19

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44088-8

  • Online ISBN: 978-3-540-46105-0

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