Intelligent and efficient NLQI improvement method for printing industry management system

A technology of management system and printing industry, applied in word processing, electronic digital data processing, natural language data processing, etc., can solve problems such as complex database structure, increasing the degree of distinction between non-end points, and difficult to guarantee the accuracy of analysis, etc., to achieve Broad application prospects, enhanced retrieval function, and high practical value

CN113033159APending Publication Date: 2021-06-25高小翎
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2021-06-25

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Abstract

According to an intelligent and efficient NLQI improvement method for a printing industry management system, an analysis rule of the improved semantic grammar is simplified into judgment of three types of non-completion points, the judgment process is thoroughly completed by ontology, and the problems existing in the semantic grammar in the prior art are well solved; on the basis of the characteristic that structured phrases and unstructured phrases of sentences coexist in a natural language retrieval statement, a semantic analysis method which takes structured phrase analysis as a main part and independently processes unstructured phrases is provided in combination with a special structure of an improved semantic grammar tree; in order to provide a system architecture of the NLQI of the printing industry management system and provide the NLQI of a printing material management module under the new situation of the printing industry management system, an experiment proves that the NLQI improvement method of the printing industry management system has high efficiency, the retrieval function of the printing industry management system can be remarkably enhanced, and the requirement for information retrieval of the printing industry management system can be met in a more friendly and intelligent mode.
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Description

technical field

[0001] The invention relates to a method for improving NLQI of a printing industry management system, in particular to an intelligent and efficient method for improving NLQI of a printing industry management system, and belongs to the technical field of high-efficiency NLQI improvement. Background technique

[0002] With the advent of the era of big data, data has become an important productivity. In the face of massive data, how to quickly retrieve data in a more friendly way has become a difficult problem. At present, there are two main retrieval methods for relational databases: one is a professional-oriented formalized retrieval language, such as SQL, and the other is a user-oriented graphical operation interface. Formal retrieval language is powerful, but it has strong grammatical restrictions, which is difficult for ordinary users to master. However, the graphical retrieval interface needs to present the background database structure to the user durin...

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Embodiment Construction

[0069] The technical scheme of the intelligent and efficient printing industry management system NLQI improvement method provided by the present invention will be further described below in conjunction with the accompanying drawings, so that those skilled in the art can better understand the present invention and implement it.

[0070] With the rapid development of artificial intelligence technology, social production has put forward higher requirements for the intelligence of the computer itself and the friendliness of human-computer interaction. At the same time, affected by the development of information technology and the digitalization of the printing industry, the management system of the printing industry has undergone tremendous changes in function and structure. The technical graphical human-computer interaction mode is becoming more and more complicated, and the interaction friendliness is declining rapidly.

[0071] The Natural Language Retrieval Interface (NLQI) ca...