Rule engine optimizing method based on restraining frequency

An optimization method and frequency technology, applied in the direction of program control device, creating/generating source code, programming language/paradigm, etc., can solve the problems of the Rete network unable to share nodes, ignoring the targeted optimization of the rule engine, etc., to improve efficiency , Improve the degree of sharing, the effect of high sharing rate

Active Publication Date: 2017-10-13
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0006] The above methods mainly improve the matching efficiency of the rule engine based on the Rete network from the aspects of Rete network construction, intermediate matching result caching and filtering, and Rete network screening. Let the constructed Rete network have a better degree of node sharing, the rule constraints must be arranged in a certain order, and the wrong arrangement order will cause the constructed Rete network to fail to share nodes, and redundant matching is performed in the rule matching process. The present invention aims at Insufficient of this rule engine, a rule engine self-optimization method based on constraint frequency is proposed

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  • Rule engine optimizing method based on restraining frequency
  • Rule engine optimizing method based on restraining frequency
  • Rule engine optimizing method based on restraining frequency

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Embodiment 1

[0048] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description.

[0049] Such as figure 1 , a rule engine liberalization method based on constraint frequency, including the following steps:

[0050] S1: Rule Constraint Frequency Statistics: Initialize rule pattern constraint frequency statistical data mapping, load rule file, obtain rule list; traverse rule list, obtain its pattern list for each rule; traverse pattern list, obtain its constraint for each pattern list; traversing constraints, modifying the mapping value of rule mode constraint frequency statistics data; after rule traversal, obtain rule mode constraint frequency statistics temporary mapping data;

[0051] S2: processing of rule constraint frequency statistical results: according to the rule constraint frequency statistical data o...

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Abstract

The invention discloses a rule engine optimizing method based on restraining frequency. The rule engine optimizing method based on restraining frequency comprises the following steps: S1, rule restraining frequency statistics: carrying out times statistics on restraining in all rule modes; S2, processing of rule restraining frequency statistics results: merging mode restraining frequency results according to a restraining name; S3, establishment of an Alpha network: carrying out rule restraining reranking to obtain a rule restraining list, and constructing an Alpha network in a Rete network; and S4, establishment of a Beta network: generating Beta nodes of the Rete network according to the generated Alpha network. By the method, the problems that in actual application, a rule which is written by a user is not targeted to the sharing degree of the Rete network, and the sharing degree of the Rete network constructed by a rule engine is not insufficient are solved; the sharing degree of the Rete network is increased; the complexity of the Rete network constructed by the rule engine is reduced; and the rule matching efficiency is improved effectively.

Description

technical field [0001] The invention relates to a rule engine optimization method, in particular to a rule engine optimization method based on rule constraint frequency. Background technique [0002] The rule engine is a generative system. The generative system is a part of the artificial intelligence system. It is mainly composed of a rule base and a reasoning machine, which provides the necessary rule execution mechanism to achieve a certain goal. The rule base is a set of rules about behavior, also known as the production formula, which is used for the basic presentation of knowledge in the expert system. The production is of the form IF <conditions>THEN <actions>, specifies actions to be executed under certain conditions. When a production is triggered, it means that the precondition of a production is matched; when a production is triggered, it means that the action of a production is executed. The description of the real world is called a fact, usually ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/44
CPCG06F8/31
Inventor 郝玉洁杜亚伟陈炳泉刘铸陈煜
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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