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Periodical literature table extraction method based on text state characteristics

A state feature and table technology, which is used in text database query, unstructured text data retrieval, special data processing applications, etc. Applicability, effect of correct extraction

Active Publication Date: 2020-04-07
GUANGXI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to provide a method for extracting tables of periodical documents based on text state characteristics, to solve the technical problem that the table extraction and restoration degree of existing PDF files is not high, and the logical structure of tables cannot be accurately reconstructed

Method used

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  • Periodical literature table extraction method based on text state characteristics
  • Periodical literature table extraction method based on text state characteristics
  • Periodical literature table extraction method based on text state characteristics

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Embodiment Construction

[0048] In order to make the object, technical solution and advantages of the present invention clearer, preferred embodiments are given to further describe the present invention in detail. However, it should be noted that many of the details listed in the specification are only for readers to have a thorough understanding of one or more aspects of the present invention, and these aspects of the present invention can be implemented even without these specific details.

[0049] Such as figure 1 Shown, the present invention a kind of periodical document table extraction method based on text status feature, described method comprises the following steps:

[0050] Step 1: The method abstracts the table of the journal document into the following model according to the characteristics of the table in the journal document, and builds the present invention based on this. The table model of the abstract journal literature is composed of two parts: the table title and the table content....

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Abstract

The invention discloses a periodical literature table extraction method based on text state characteristics, and belongs to the technical field of PDF file information extraction. The method comprisesthe steps that a table model is constructed according to characteristics of tables in periodical literatures, the table model is composed of a table title and table content, a text line set is established, table detection, table data positioning and table reconstruction are carried out, a table cell data set is established, the table data is combined, a table cell data set is verified and the table data is output. The method is particularly designed for the characteristics of tables such as a three-line table widely existing in PDF periodical literatures. Accurate and correct extraction of specific tables in PDF periodical literatures can be achieved, particularly, the logic relation of three-line tables is guaranteed, manual intervention and interaction are not needed in the whole process, table selection is not needed, and automation of the whole extraction process can be achieved. As the ontology is adopted to help filter the table, the method also has wide applicability.

Description

technical field [0001] The invention relates to the technical field of PDF file information extraction, in particular to a method for extracting journal literature tables based on text status features. Background technique [0002] PDF (Portable Document Format, Portable Document Format) has a fixed layout rendering effect and powerful cross-platform manuscript reproduction capabilities, and is an international common file format for the transmission and storage of journal documents. As one of the main carriers of scientific knowledge and data dissemination, the number of periodical literature has been increasing year by year, but the large amount of effective data in the literature has not been fully utilized. [0003] Scientific data is an important basic strategic resource for the development of national scientific and technological innovation and economic and social development. Especially, scientific research and technological innovation in the era of big data increasin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F40/30G06K9/00
CPCG06F16/33G06V30/414G06V30/416G06F16/367G06F40/30G06F40/114G06F18/23Y02D10/00G06F16/2365G06V30/412G06V30/293
Inventor 邓建新唐锐叶志兴贺德强谢彬曾向明李先旺
Owner GUANGXI UNIV
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