Dec 15, 2002 · The query pruning is an important optimization technique to avoid useless traversals in evaluating regular path expressions. While the previous ...
Regular path expressions are essential for formulating queries over the semistructured data without specifying the exact struc- ture. The query pruning is ...
An effective query pruning technique for multiple regular path expressions. Regular path expressions are essential for formulating queries over the ...
This paper identifies some difficulties with currently known methods for using rewritings in semistructured databases, and gives a new rewriting, ...
An effective query pruning technique for multiple regular path expressions ... query pruning is effective in optimizing multiple regular path expressions ...
ABSTRACT. Rewriting queries using views is a powerful technique that has applications in data integration, data warehousing and query optimization.
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the data we give an efficient algorithm for rewriting any regular path expression query into a pruned one. Query rewriting using state extents can eliminate or ...
two novel optimization techniques, query pruning and query rewriting using state extents, which exploit the structure specified by a graph schema. Query pruning.
Missing: effective multiple
Feb 5, 2024 · A detailed guide for reducing Snowflake costs with pruning. Snowflake is a powerful platform for storing and managing vast amounts of data, ...
Abstract—We introduce a time- and space-efficient technique to solve regular path queries over labeled (RDF) graphs. We combine a bit-parallel simulation of ...