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10.1109/ICDE.2011.5767868guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Characteristic sets: Accurate cardinality estimation for RDF queries with multiple joins

Published: 11 April 2011 Publication History

Abstract

Accurate cardinality estimates are essential for a successful query optimization. This is not only true for relational DBMSs but also for RDF stores. An RDF database consists of a set of triples and, hence, can be seen as a relational database with a single table with three attributes. This makes RDF rather special in that queries typically contain many self joins. We show that relational DBMSs are not well-prepared to perform cardinality estimation in this context. Further, there are hardly any special cardinality estimation methods for RDF databases. To overcome this lack of appropriate cardinality estimation methods, we introduce characteristic sets together with new cardinality estimation methods based upon them. We then show experimentally that the new methods are-in the RDF context-highly superior to the estimation methods employed by commercial DBMSs and by the open-source RDF store RDF-3X.

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cover image Guide Proceedings
ICDE '11: Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
April 2011
1457 pages
ISBN:9781424489596

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IEEE Computer Society

United States

Publication History

Published: 11 April 2011

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