Compressed materialised views of semi-structured data

Richard Gourlay, Brian Tripney, John Wilson

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)
44 Downloads (Pure)

Abstract

Query performance issues over semi-structured data have led to the emergence of materialised XML views as a means of restricting the data structure processed by a query. However preserving the conventional representation of such views remains a significant limiting factor especially in the context of mobile devices where processing power, memory usage and bandwidth are significant factors. To explore the concept of a compressed materialised view, we extend our earlier work on structural XML compression to produce a combination of structural summarisation and data compression techniques. These techniques provide a basis for efficiently dealing with both structural queries and valuebased predicates. We evaluate the effectiveness of such a scheme, presenting results and performance measures that show advantages of using such structures.
Original languageEnglish
Title of host publication24th British National Conference on Databases (BNCOD'07)
Place of PublicationPiscataway
PublisherIEEE
Pages75-82
Number of pages7
ISBN (Print)0769529127
DOIs
Publication statusPublished - 16 Jul 2007
Event24th British National Conference on Databases - University of Glasgow, Glasgow, United Kingdom
Duration: 3 Jul 20075 Jul 2007

Conference

Conference24th British National Conference on Databases
Abbreviated titleBNCOD'07
CountryUnited Kingdom
CityGlasgow
Period3/07/075/07/07

Keywords

  • semi-structured data
  • performance issues
  • compression
  • bandwidth
  • processing power
  • data compression techniques

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  • Cite this

    Gourlay, R., Tripney, B., & Wilson, J. (2007). Compressed materialised views of semi-structured data. In 24th British National Conference on Databases (BNCOD'07) (pp. 75-82). IEEE. https://doi.org/10.1109/BNCOD.2007.8