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Knowledge Portrait Model for Research Project Documents

  

  1. (North China Institute of Computing Technology, Beijing 100083, China) 
  • Received:2019-08-22 Online:2020-03-03 Published:2020-03-03

Abstract: Aiming to improve the ability of accurate and intelligent identification of the knowledge points of the research project documents produced by research activities, we analyzed the document structure and proposed a method for establishing document knowledge portrait. A multi-level knowledge portrait fitting the structure of documents is designed. It identified the key points of the document knowledge automatically and extracted the knowledge points according to the multi-granularity of the semantic paragraph. The accuracy of knowledge extraction is used to test the accuracy of the model. The experimental results show that the model is more accurate than the traditional method for document knowledge description and can be used in practical application.

Key words: research project document, knowledge portrait, knowledge extraction, document description model, structural elements

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