Minimization of tree pattern queries
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Covering indexes for branching path queries
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Holistic twig joins: optimal XML pattern matching
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Anatomy of a native XML base management system
The VLDB Journal — The International Journal on Very Large Data Bases
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
Rewriting XPath queries using materialized views
VLDB '05 Proceedings of the 31st international conference on Very large data bases
From region encoding to extended dewey: on efficient processing of XML twig pattern matching
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Answering tree pattern queries using views
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Multiple Materialized View Selection for XPath Query Rewriting
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
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A fundamental problem in XML query processing is tree pattern query (TPQ) matching which computes all data instances in an XML database that match an input TPQ. More recently, there is growing attention on applying materialized views, which is an established and effective optimization technique in relational database systems, to TPQ matching. We study the query answering using views problem for tree pattern queries (QAV). The QAV problem is traditionally formulated in two ways: (i) find a maximal result, or (ii) find an equivalent result. For the former, there exists an idea of searching for a maximal contained rewriting, by applying some compensation to the result of view. Because not all the answers will be returned, some useful answers may be missing. Motivated by this, we study the latter one--finding an equivalent rewriting of tree pattern queries. We mainly focus on path query.