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New Technology of Library and Information Service  2007, Vol. 2 Issue (10): 38-41    DOI: 10.11925/infotech.1003-3513.2007.10.09
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Architecture of Knowledge Extraction Based on NLP
Hua Bolin
(Institute of Scientific and Technical Information of China, Beijing 100038,China)
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Abstract  

Based on the studies of system architecture of NLP platform and knowledge extraction system, the author brings forth a detailed resolution on how to design a knowledge extraction system based on NLP. NLP technique includes eight modules, such as segmentation, part-of speech tag, syntactic analysis and semantic analysis. Knowledge extraction includes four modules, such as documents type analysis, discourse analysis, knowledge extraction and knowledge representation. Research on system architecture of knowledge extraction based on NLP is beneficial to not only find relations between NLP and knowledge extraction, but also analyze system flow and critical technology of knowledge extraction.

Key wordsNatural Language Processing(NLP)      Knowledge extraction      Document analysis      Content analysis      System architecture      Critical technology     
Received: 04 July 2007      Published: 25 October 2007
ZTFLH: 

G35 

 
     
  TP391

 
Corresponding Authors: Hua Bolin     E-mail: huabolin@istic.ac.cn
About author:: Hua Bolin

Cite this article:

Hua Bolin. Architecture of Knowledge Extraction Based on NLP. New Technology of Library and Information Service, 2007, 2(10): 38-41.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2007.10.09     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2007/V2/I10/38

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