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2007

Compressed Materialised Views of Semi-Structured Data

8 years 8 months ago
Compressed Materialised Views of Semi-Structured Data
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.
Richard Gourlay, Brian Tripney, John N. Wilson
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where BNCOD
Authors Richard Gourlay, Brian Tripney, John N. Wilson
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