A method for automatic information extraction and map making of Chinese academic research hotspots

A hotspot area and automatic extraction technology, applied in the field of information processing, can solve the problems that the distribution density cannot be expressed quantitatively, EnvMine cannot process Chinese text, and it is only applicable

Inactive Publication Date: 2021-05-04
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above two language restrictions prevent EnvMine from processing Chinese text;
[0004] (2) EnvMine mainly identifies sampling points, and the topics it can cover are very limited, so it is only suitable for researchers in the field of ecology;
[0005] (3) The result of EnvMine shows the spatial distribution of sampling points, but fails to quantify its distribution density and other characteristics

Method used

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  • A method for automatic information extraction and map making of Chinese academic research hotspots
  • A method for automatic information extraction and map making of Chinese academic research hotspots
  • A method for automatic information extraction and map making of Chinese academic research hotspots

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Experimental program
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Embodiment

[0037] Example, combined with figure 1 , the present invention uses China National Knowledge Network (http: / / www.cnki.net / ) as a data source to crawl data on related documents on specific topics, and obtain available text information such as titles, abstracts, and keywords through web page parsing. After performing operations such as Chinese word segmentation, place name entity recognition, and place name standardization on the above text, the document is spatially positioned, and then spatial statistics are performed on all located documents, and research popularity calculations are performed on all regions to finally obtain the spatial distribution of research hotspots on a certain topic , and expressed in the form of a thematic map. details as follows:

[0038] S1: Database module. The database used in this method is built based on SQLite, which includes multiple data tables such as project information table, standard place name data table, research background value table...

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Abstract

The invention discloses a method for automatically extracting research hotspot area information and making maps for Chinese academic resources. The present invention firstly crawls a large number of Chinese documents with specified topics, and obtains information such as titles, abstracts, and keywords through web page analysis; performs operations such as Chinese word segmentation, place name entity recognition, and place name standardization on the above text information to clarify the research pointed to by these specific documents region, and count the number of documents in each research area; at the same time, according to the results of the spatial positioning of the documents, continue to count the number of all documents related to the area; finally, calculate the research popularity value based on the comprehensive index model, and display the results in the form of a thematic map. The invention can automatically complete the information extraction, heat calculation and map drawing of a large amount of Chinese texts, and understand the spatial distribution characteristics of specific subject research work.

Description

technical field [0001] The invention belongs to the technical field of information processing, and specifically relates to a method for automatically extracting information of a Chinese academic research hotspot area and making a map. Background technique [0002] With the continuous development of informatization and the level of the Internet, more and more scientific research results can be integrated and stored in structured knowledge databases. In the face of massive research publication data, the traditional method of extracting information and locating research hotspots through manual reading is obviously no longer feasible. The development of text processing technology and natural language understanding technology has made it possible to quickly and accurately extract usable information from large-scale literature data. offers possibilities. The existing EnvMine system provides a method for processing massive texts and completes the spatial positioning of physical an...

Claims

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): G06F16/29G06F16/951
Inventor胡云锋韩月琪
OwnerINST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS