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XQuery query path optimization method based on particle swarm optimization

A particle swarm optimization and query path technology, applied in the field of communication, can solve the problem of large resource consumption of query paths, and achieve the effect of reducing resources and reducing system resources.

Inactive Publication Date: 2014-07-23
PEKING UNIV FOUNDER GRP CO LTD +2
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Problems solved by technology

[0004] The present invention provides an XQuery query path optimization method based on the particle swarm optimization algorithm to solve the problem that the query path consumes too much resources in the prior art

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  • XQuery query path optimization method based on particle swarm optimization
  • XQuery query path optimization method based on particle swarm optimization
  • XQuery query path optimization method based on particle swarm optimization

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Embodiment Construction

[0043] In order to make the above objects, features and advantages of the present invention more comprehensible, specific implementations of the present invention will be described in detail below in conjunction with the accompanying drawings. In the following description, specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention can be implemented in many other ways than those described here, and those skilled in the art can make similar extensions without departing from the connotation of the present invention. Accordingly, the present invention is not limited to the specific embodiments disclosed below.

[0044] When performing complex queries on large XML files, because the XML files are large and the XQuery query statements executed by them are relatively complex, the intermediate results in the query process will be relatively large, which will affect the query speed, and the system Excessive sys...

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Abstract

The invention discloses an XQuery query path optimization method and device based on particle swarm optimization. The XQuery query path optimization method comprises the following steps of: S1, reading an XML (Extensive Makeup Language) document to be queried and pre-processing the XML document; S2, converting an XQuery query language according to the pre-processed XML document; S3, constructing a query cost matrix according to the converted XQuery query language; S4, calculating the query cost matrix by using particle swarm optimization so as to obtain the shortest query cost path. In comparison with the prior art, the XQuery query path optimization method and device based on particle swarm optimization, disclosed by the invention, have the advantages of providing corresponding time of corresponding queries, reducing resources required by query systems, preferably using query intermediate results and carrying out efficient optimization treatment on the intermediate results so as to decrease system resources consumed by the intermediate results and finish corresponding queries with lower resource requirements.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to an XQuery query path optimization method based on a particle swarm optimization algorithm. Background technique [0002] XQuery is a language used to find and extract elements and attributes from XML documents, which has been accepted as a W3 standard. XQuery is designed to query XML documents, but it is not limited to querying XML documents, but it can also be used for any data presented in XML form, including databases of course. XQuery is to XML what SQL is to relational datasets. Therefore, XQuery is widely used in information extraction in network services; generation of information summaries; conversion of XML to HTML; search of XML documents and other application scenarios. [0003] Therefore, when an XML document needs to be queried, what kind of query path is executed for the selection of a given XQuery statement directly affects the response time of the query s...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06N3/12
Inventor 李浩赵伟郑程光孙伟丰罗正海李泉李书淦程仁波
Owner PEKING UNIV FOUNDER GRP CO LTD
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