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Transforming XML Streams with References

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String Processing and Information Retrieval (SPIRE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9309))

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  • International Symposium on String Processing and Information Retrieval

Abstract

Many useful xml transformations can be formulated through deterministic top-down tree transducers. If transducers process parts of the input repeatedly or in non-document order, then they cannot be realized over the xml stream with constant or even depth-bounded memory. We show that by enriching streams by forward references both in the input and in the output, every such transformation can be compiled into a stream processor with a space consumption depending only on the transducer and the depth of the xml document. References allow to produce DAG-compressed output that is guaranteed to be linear in the size of the input (up to the space required for labels). Our model is designed so that without decompression, the output may again serve as the input of a subsequent transducer.

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Author information

Authors and Affiliations

  1. University of Edinburgh, Edinburgh, UK

    Sebastian Maneth

  2. Universidade da Coruña, Coruña, Spain

    Alberto Ordóñez

  3. TU München, München, Germany

    Helmut Seidl

Authors
  1. Sebastian Maneth
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  2. Alberto Ordóñez
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  3. Helmut Seidl
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Corresponding author

Correspondence to Sebastian Maneth .

Editor information

Editors and Affiliations

  1. King's College London, London, United Kingdom

    Costas Iliopoulos

  2. University of Helsinki, Helsinki, Finland

    Simon Puglisi

  3. University College London, London, United Kingdom

    Emine Yilmaz

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© 2015 Springer International Publishing Switzerland

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Maneth, S., Ordóñez, A., Seidl, H. (2015). Transforming XML Streams with References. In: Iliopoulos, C., Puglisi, S., Yilmaz, E. (eds) String Processing and Information Retrieval. SPIRE 2015. Lecture Notes in Computer Science(), vol 9309. Springer, Cham. https://doi.org/10.1007/978-3-319-23826-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-23826-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23825-8

  • Online ISBN: 978-3-319-23826-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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