With the arrival of these XML-based formats, and especially the standardized formats such as PSI-MI, SBML and BioPAX, there is a need for searching in data represented in XML.
#XBENCH REGULAR EXPRESSIONS DOWNLOAD#
Many of these databases offers the data for download on the web in a number of different formats, many of them XML-based. Research of protein-protein interactions produce vast quantities of data and there exists a large number of databases with data from this research. Such exploration further validates the performance benefits of Andes. We also explore the query plans selected by a commercial relational optimizer to evaluate our translated queries in different input cardinality. Experiments carried out confirm that our proposed approach built on top of an off-the-shelf commercial rdbms significantly outperforms state-of-the-art relational and native approaches. Based on this scheme, we propose a novel sql translation algorithm for not-twig query evaluation. In this approach, a set of elements under the same common ancestor at a specific level in the xml tree is assigned same ancestor group identifier. We propose a novel Dewey-based encoding scheme called Andes (ANcestor Dewey-based Encoding Scheme), which enables us to efficiently filter out elements satisfying a not-predicate by comparing their ancestor group identifiers. twig queries are XPath queries with ancestor–descendant and parent–child axis and contain one or more not-predicates. twig queries in a tree-unaware relational environment. In this paper, we present an efficient and novel strategy to evaluate not
Particularly, several xml supports of industrial-strength commercial rdbms fail to efficiently evaluate such queries. Despite a large body of work on XPath query processing in relational environment, systematic study of queries containing not-predicates have received little attention in the literature.
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