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A High-Level Language for Specifying XML Data Transformations

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Advances in Databases and Information Systems (ADBIS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3255))

Abstract

We propose a descriptive high-level language XDTrans devoted to specify transformations over XML data. The language is based on unranked tree automata approach. In contrast to W3C’s XQuery or XSLT which require programming skills, our approach uses high-level abstractions reflecting intuitive understanding of tree oriented nature of XML data. XDTrans specifies transformations by means of rules which involve XPath expressions, node variables and non-terminal symbols denoting fragments of a constructed result. We propose syntax and semantics for the language as well as algorithms translating a class of transformations into XSLT.

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References

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Author information

Authors and Affiliations

  1. Institute of Control and Information Engineering, Poznan University of Technology, Poland

    Tadeusz Pankowski

Authors
  1. Tadeusz Pankowski
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Editor information

Editors and Affiliations

  1. Data Mining and Web search Research Group, Informatics Laboratory Computer and Automation Research Institute of the Hungarian Academy of Sciences,  

    András Benczúr

  2. MTA SZTAKI, Computer and Automation Institute, of the Hungarian Academy of Sciences, Kende u. 13-17, H-1111, Budapest, Hungary

    János Demetrovics

  3. Oxford University Computing Laboratory, Wolfson Building Parks Road, OX1 3QD, Oxford, United Kingdom

    Georg Gottlob

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© 2004 Springer-Verlag Berlin Heidelberg

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Pankowski, T. (2004). A High-Level Language for Specifying XML Data Transformations. In: Benczúr, A., Demetrovics, J., Gottlob, G. (eds) Advances in Databases and Information Systems. ADBIS 2004. Lecture Notes in Computer Science, vol 3255. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30204-9_11

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  • DOI: https://doi.org/10.1007/978-3-540-30204-9_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23243-8

  • Online ISBN: 978-3-540-30204-9

  • eBook Packages: Springer Book Archive

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