Computer Science ›› 2018, Vol. 45 ›› Issue (6A): 101-105.

• Intelligent Computing • Previous Articles     Next Articles

Language Understanding Model Based on Ontological Semantics Network

WANG Fei1,YI Mian-zhu1,TAN Xin2   

  1. Information Engineering University Luoyang Campus,Luoyang,Henan 471003,China1
    91709 Troops,Hunchun,Jilin 133300,China2
  • Online:2018-06-20 Published:2018-08-03

Abstract: The traditional knowledge representation has limited scope of knowledge and incomprehensive formal semantics description,thereby causing the computer’s accurate portrayal of natural language.This paper proposed ontological semantics network on the levels of concept and lexicalfor semantic analysis.Its brain-like neural language network dra-wing from the inspiration of human brain neural cell’s work principle,could both accurately portray different meanings of a word in different domains,understand the text meaning and cover the elements and characteristics in the process of words’s generating into sentences.Matrix is employed to further formalize the model,with singular value decomposition to reduce the scale complexity,which makes it more convenient to describe the relationship between lexical semantics.

Key words: Concept, Lexical, Matrix, Neural network, Ontological semantics

CLC Number: 

  • TP391
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