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.

• Type: Conference
• Year: 2007
• Where: BNCOD
• Authors: Richard Gourlay, Brian Tripney, John N. Wilson
• Keywords: BNCOD 2007, Database, Query Performance Issues, Significant Limiting Factor, Structural Xml Compression