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 language | English |
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Title of host publication | 24th British National Conference on Databases (BNCOD'07) |
Place of Publication | Piscataway |
Publisher | IEEE |
Pages | 75-82 |
Number of pages | 7 |
ISBN (Print) | 0769529127 |
DOIs | |
Publication status | Published - 16 Jul 2007 |
Event | 24th British National Conference on Databases - University of Glasgow, Glasgow, United Kingdom Duration: 3 Jul 2007 → 5 Jul 2007 |
Conference
Conference | 24th British National Conference on Databases |
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Abbreviated title | BNCOD'07 |
Country/Territory | United Kingdom |
City | Glasgow |
Period | 3/07/07 → 5/07/07 |
Keywords
- semi-structured data
- performance issues
- compression
- bandwidth
- processing power
- data compression techniques