Retrieval method based on advanced assertion decision algorithm and LL recursive descent method

A recursive descent and decision-making algorithm technology, applied in the field of retrieval, can solve the problems of restricting the use and promotion of platforms and software, the inability to intuitively display retrieval expressions, and slow analysis speed, so as to improve the utilization level of intellectual property information, improve retrieval and application level effect

Inactive Publication Date: 2017-02-22
福建省知识产权信息公共服务中心
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AI Technical Summary

Benefits of technology

This innovation helps companies make informed decisions about how their products are being used or what they want them to be branded with while also providing valuable insights into which areas it may have been more useful than others.

Problems solved by technology

This patented technical problem addressed by this patents relates to improving knowledgeability during researching or developing new technologies without sacrificing productivity. Current searching analyzer systems have limitations such as slower data processing speeds that limit how fast they can analyze results compared with other methods like keyword searches.

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  • Retrieval method based on advanced assertion decision algorithm and LL recursive descent method
  • Retrieval method based on advanced assertion decision algorithm and LL recursive descent method

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Embodiment Construction

[0021] In order to make the present invention more comprehensible, a preferred embodiment is now described in detail with accompanying drawings as follows.

[0022] The search analyzer based on the lookahead assertion decision algorithm and the LL recursive descent method is developed based on the open source project Antlr.

[0023] Such as figure 1 Shown, a kind of retrieval analyzer based on look-ahead assertion decision-making algorithm and LL recursive descent method of the present invention comprises the following steps:

[0024] Step 1. Write the grammatical rules of the parser according to the Extended Backus-Naur Form EBNF design, summarize different retrieval expressions, and summarize various elements. Each element has a corresponding grammatical rule. Each element is simply expressed in pseudo-EBNF as follows:

[0025] Search expression:

[0026] filter_expression(logical operator filter_expression) *;

[0027] Filter expression:

[0028] bibliography(,bibliogra...

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Abstract

The invention provides a retrieval method based on an advanced assertion decision algorithm and an LL recursive descent method. The method includes the steps that 1, a grammatical rule of a compiling analyzer is designed according to the extended Backus Naur form (EBNF); 2, java codes of the analyzer are generated, and the generated java codes are compiled; 3, when an Antlr carries out analysis of a retrieval expression, if an error occurs, analysis is immediately stopped, or else, the step 4 is executed; 4, the retrieval expression is analyzed into an abstract syntax tree, all nodes in the abstract syntax tree and content of the retrieval expression are correlated through a visual interface; 5, the retrieval expression is reconstructed through the analyzer, and the abstract syntax tree is subjected to the operation that corresponding logic operators are converted or bibliographical particulars are split; 6, the analyzer queries a target patent retrieval platform, and queried data is grabbed to the local to be analyzed by workers. The analysis efficiency of patent retrieval is improved.

Description

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Claims

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Application Information

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Owner 福建省知识产权信息公共服务中心
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