Method and equipment for fuzzy query, query result processing and filtering condition processing

A technology of fuzzy query and filtering conditions, applied in the field of communication, can solve the problems of unreasonable filtering message processing methods, name space query, filtering, lack of processing means, and reduce redundant information processing and transmission, etc., to reduce a large amount of redundancy Information, optimization of filtering results, and easy access to the effect
CN101686146AInactive Publication Date: 2010-03-31HUAWEI TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUAWEI TECH CO LTD
Publication Date
2010-03-31
Estimated Expiration
Not applicable · inactive patent

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Abstract

The embodiment of the invention discloses methods and equipment for fuzzy query, query result processing and filtering condition processing, wherein the method for fuzzy query based on subtree filtration comprises the following steps: receiving a data stream to be filtered; and filtering the data stream by a partial matching mode, and processing filtering conditions of character string forms of complete information given by a user. The embodiment of the invention solves the problem of inconvenience brought in a way that an NETCONF protocol subtree filtering mechanism is only confined to exactmatching and absolute path and more known information are required to be given in the data query.
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Description

technical field

[0001] The invention relates to the field of communication technology, in particular to a method and equipment for fuzzy query, query result processing and filter condition processing. Background technique

[0002] NETCONF (Network Configuration Protocol) is a network management protocol that uses XML (Extensible Markup Language, Extensible Markup Language) to describe operation requests and network management data. XML is a set of rules for semantic markup, which divides documents into many parts and identifies these parts with tags. These marks are usually in natural language and therefore highly readable. Markup looks like this:

[0003] <age> 10< / age>

[0004] <name language="English">

[0005] <first-name>George< / first-name>

[0006] <last-name> Bush< / last-name>

[0007]

[0008] <hobby>< / hobby>

[0009] <hobby / >

[0010] Each pair of tokens consists of a start token (such as <...

Claims

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