Abstract
| Language | English |
|---|---|
| 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 |
|---|---|
| Abbreviated title | BNCOD'07 |
| Country | United Kingdom |
| City | Glasgow |
| Period | 3/07/07 → 5/07/07 |
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Keywords
- semi-structured data
- performance issues
- compression
- bandwidth
- processing power
- data compression techniques
Cite this
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Compressed materialised views of semi-structured data. / Gourlay, Richard; Tripney, Brian; Wilson, John.
24th British National Conference on Databases (BNCOD'07). Piscataway : IEEE, 2007. p. 75-82.Research output: Chapter in Book/Report/Conference proceeding › Chapter
TY - CHAP
T1 - Compressed materialised views of semi-structured data
AU - Gourlay, Richard
AU - Tripney, Brian
AU - Wilson, John
PY - 2007/7/16
Y1 - 2007/7/16
N2 - 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.
AB - 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.
KW - semi-structured data
KW - performance issues
KW - compression
KW - bandwidth
KW - processing power
KW - data compression techniques
U2 - 10.1109/BNCOD.2007.8
DO - 10.1109/BNCOD.2007.8
M3 - Chapter
SN - 0769529127
SP - 75
EP - 82
BT - 24th British National Conference on Databases (BNCOD'07)
PB - IEEE
CY - Piscataway
ER -