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10.1109/BNCOD.2007.8guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Compressed Materialised Views of Semi-Structured Data

Published: 03 July 2007 Publication History

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.

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  • (2009)Sharing large data collections between mobile peersProceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia10.1145/1821748.1821809(321-325)Online publication date: 14-Dec-2009

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cover image Guide Proceedings
BNCOD '07: Proceedings of the 24th British National Conference on Databases
July 2007
147 pages
ISBN:0769529127

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IEEE Computer Society

United States

Publication History

Published: 03 July 2007

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  • (2009)Sharing large data collections between mobile peersProceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia10.1145/1821748.1821809(321-325)Online publication date: 14-Dec-2009

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