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The EGTV Query Language

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Key Technologies for Data Management (BNCOD 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3112))

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Abstract

When storing data in heterogeneous databases, one of the top-down design issues concerns the usage of multiple query languages. A common language enables querying of database schemas in a platform independent format. This is particularly useful in federated database systems when newly added databases may be both numerous and heterogeneous. As the existing query language standards are generally incompatible and translation between them is not trivial, a new query language has been developed. The EQL language facilitates querying of object-oriented and object-relational database schemas in a database and platform independent manner. The EQL language also provides an orthogonal type system, the ability to define simple views, and updatability at the object level. EQL is supported with formally defined object algebra and specified semantics of query evaluation.

Supported by Enterprise Ireland Research Grant IF-2001-305

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Author information

Authors and Affiliations

  1. Interoperable Systems Group, Dublin City University, Glasnevin, Dublin 9, Ireland

    Damir Bećarević & Mark Roantree

Authors
  1. Damir Bećarević
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  2. Mark Roantree
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Editor information

Editors and Affiliations

  1. School of Mathematical and Computer Sciences, Heriot-Watt University, EH14 4AS, Edinburgh

    Howard Williams

  2. School of Computing and Creative Technologies, University of Abertay Dundee, DD1 1HG, Dundee, Scotland

    Lachlan MacKinnon

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© 2004 Springer-Verlag Berlin Heidelberg

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Bećarević, D., Roantree, M. (2004). The EGTV Query Language. In: Williams, H., MacKinnon, L. (eds) Key Technologies for Data Management. BNCOD 2004. Lecture Notes in Computer Science, vol 3112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27811-5_5

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  • DOI: https://doi.org/10.1007/978-3-540-27811-5_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22382-5

  • Online ISBN: 978-3-540-27811-5

  • eBook Packages: Springer Book Archive

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