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Providing Semantically Equivalent, Complete Views for Multilingual Access to Integrated Data
Kozlova, I., Ritter, N. and Husemann, M.
Today, there are several approaches supporting an
integrated processing of XML and (object-)relational data
sources. However, each of these approaches favors a
single data model for integration purposes and, thus,
provides just a single query interface, usually either SQL
or XQuery. In order to be more flexibly applicable, our
SQXML integration system provides both query
languages at its interface. The challenge here is to ensure
that the complete information resulting from the data
integration process is accessible via both query languages.
In this paper we prove that our SQXML integration
approach meets this objective. For this purpose we
examine the schema transformation, mapping and
integration steps performed in the SQXML integration
and view generation process in order to show that the
resulting SQL and XML views are semantically
equivalent in the sense that each encompasses the
complete information resulting from schema integration. |
Cite as: Kozlova, I., Ritter, N. and Husemann, M. (2007). Providing Semantically Equivalent, Complete Views for Multilingual Access to Integrated Data. In Proc. Tutorials, posters, panels and industrial contributions at the 26th International Conference on Conceptual Modeling - ER 2007 Auckland, New Zealand. CRPIT, 83. Grundy, J., Hartmann, S., Laender, A. H. F., Maciaszek, L. and Roddick, J. F., Eds. ACS. 191-196. |
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