XSelMark: A Micro-benchmark for Selectivity Estimation Approaches of XML Queries
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Dependable cardinality forecasts for XQuery
Proceedings of the VLDB Endowment
Cost based plan selection for xpath
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Query and update through XML views
DNIS'07 Proceedings of the 5th international conference on Databases in networked information systems
Towards a comprehensive assessment for selectivity estimation approaches of XML queries
International Journal of Web Engineering and Technology
Updating XML views and querying XML views with update syntax
International Journal of Computational Science and Engineering
Optimizing incremental maintenance of minimal bisimulation of cyclic graphs
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
Efficiency frontiers of XML cardinality constraints
Data & Knowledge Engineering
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Estimating the result sizes of XML queries is important in query optimization and is useful in providing a quick feedback about the queries. Existing works have focused on the selectivity estimation of XML queries without order-based axes. In this work, we develop a framework to estimate the result sizes of XPath expressions with order-based axes. We describe how the path and order information of XML elements can be captured and summarized in compact data structures. We also describe methods to estimate the selectivity of XPath queries. The results of extensive experiments on both synthetic and real-world datasets demonstrate the effectiveness and accuracy of the proposed approach.