An XML query engine for network-bound data
The VLDB Journal — The International Journal on Very Large Data Bases
Stream processing of XPath queries with predicates
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
XPath queries on streaming data
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Efficient Filtering of XML Documents with XPath Expressions
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Processing XML streams with deterministic automata and stream indexes
ACM Transactions on Database Systems (TODS)
The VLDB Journal — The International Journal on Very Large Data Bases
Efficient algorithms for processing XPath queries
ACM Transactions on Database Systems (TODS)
An Efficient XPath Query Processor for XML Streams
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
AFilter: adaptable XML filtering with prefix-caching suffix-clustering
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
On the memory requirements of XPath evaluation over XML streams
Journal of Computer and System Sciences
XMark: a benchmark for XML data management
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Towards an internet-scale XML dissemination service
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
XPath evaluation in linear time
Proceedings of the twenty-seventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
ROX: run-time optimization of XQueries
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Processing XPath queries with forward and downward axes over XML streams
Proceedings of the 13th International Conference on Extending Database Technology
Evaluating xpath queries on XML data streams
BNCOD'07 Proceedings of the 24th British national conference on Databases
XPath whole query optimization
Proceedings of the VLDB Endowment
Optimized XPath evaluation for schema-compressed XML data
ADC '12 Proceedings of the Twenty-Third Australasian Database Conference - Volume 124
Fast multi-update operations on compressed XML data
BNCOD'13 Proceedings of the 29th British National conference on Big Data
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Available XPath evaluators basically follow one of two strategies to evaluate an XPath query on hierarchical XML data: either they evaluate it top-down or they evaluate it bottom-up. In this paper, we present an approach that allows evaluating an XPath query in arbitrary directions, including a mixture of bottom-up and top-down direction. For each location step, it can be decided whether to evaluate it top-down or bottom-up, such that we can start e.g. with a location step of low selectivity and evaluate all child-axis steps top-down at the same time. As our experiments have shown, this approach allows for a very efficient XPath evaluation which is 15 times faster than the JDK1.6 XPath query evaluation (JAXP) and which is several times faster than MonetDB if the file size is ≤ 30 MB or the query to be evaluated contains at least one location step that has a low selectivity. Furthermore, our approach is applicable to most compressed XML formats too, which may prevent swapping when a large XML document does not fit into main memory but its compressed representation does.