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PDF full-automatic indexing system and method based on text features and grammatical rules

An automatic indexing and fully automatic technology, applied in special data processing applications, natural language data processing, instruments, etc., can solve problems such as personnel quality dependence

Active Publication Date: 2021-02-02
BEIJING UNIV OF POSTS & TELECOMM +1
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Problems solved by technology

[0004] In view of this, the present invention provides a PDF automatic indexing system and method based on text features and grammatical rules. The process is realized by software, which solves the problem that the PDF indexing process is highly dependent on the quality of personnel, and can greatly improve the efficiency and quality of indexing

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  • PDF full-automatic indexing system and method based on text features and grammatical rules
  • PDF full-automatic indexing system and method based on text features and grammatical rules
  • PDF full-automatic indexing system and method based on text features and grammatical rules

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Embodiment

[0114] The overall architecture of the PDF automatic indexing system is as follows figure 1 shown.

[0115] The PDF automatic indexing system is divided into three layers, configuration analysis layer, event distribution layer, and function realization layer. The system adopts an event-driven approach and uses an observer mode architecture. The advantage of this architecture is that the specific implementation of functions and the main process are loosely coupled and belong to different levels. When the module is working, it only needs to use the event Sending out does not pay attention to the specific implementation, which will greatly improve the scalability of the system. For automatic indexing, many functions require iterative optimization to adapt to complex layouts and special situations. If it is a normal process architecture, adding a function often requires modifying the entire process, but with an event-driven architecture, we only need to re- Just add an event an...

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Abstract

The invention discloses a PDF full-automatic indexing system and method based on text features and grammatical rules. The system is provided with an analysis layer, an event distribution layer and a function implementation layer. According to the system, an event-driven mode is adopted, an observer mode architecture is used, firstly, an XML intermediate file containing basic information is generated by analyzing PDF, and then all PDF elements are analyzed through text feature and grammatical feature analysis and other technologies to complete the whole automatic indexing process; according tothe PDF full-automatic indexing method, the whole working process is divided into seven stages, namely an element extraction stage, a block aggregation stage, a row aggregation stage, a picture labelidentification stage, a label matching stage, an indexing file generation stage and an exception handling stage. Full-automatic analysis, labeling and aggregation of PDF files can be achieved, and finally structured data containing all information is exported. According to the invention, the expansibility, PDF processing efficiency and content utilization depth of the system are improved, and thefull-automatic indexing of PDF is realized.

Description

technical field [0001] The present invention relates to the technical field of natural language processing, and more specifically relates to a PDF automatic indexing system and method based on text features and grammatical rules. Background technique [0002] At present, the mainstream tools for PDF indexing rely on digital processing personnel to perform frame selection and marking. The program realizes the conversion from PDF to structured data by identifying the manually selected content area and the configured tags. There are two main problems in this way: (1) excessive reliance on the quality of digital processing personnel. PDF indexing realized by manual marking can meet the conversion from PDF to structured data, but the division of paragraphs and label configuration all rely on the judgment of digital processing personnel on the content of the mark. Therefore, the existing indexing technology will Because the digital processors themselves have different understandi...

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Application Information

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IPC IPC(8): G06F40/117G06F16/84
CPCG06F16/86G06F40/117
Inventor 陈科良任维政崔岩松张晓欢黄云霞樊昌熙
Owner BEIJING UNIV OF POSTS & TELECOMM
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