Compressed materialised views of semi-structured data

Richard Gourlay, Brian Tripney, John Wilson

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)
55 Downloads (Pure)


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
Number of pages7
ISBN (Print)0769529127
Publication statusPublished - 16 Jul 2007
Event24th British National Conference on Databases - University of Glasgow, Glasgow, United Kingdom
Duration: 3 Jul 20075 Jul 2007


Conference24th British National Conference on Databases
Abbreviated titleBNCOD'07
Country/TerritoryUnited Kingdom


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


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