[1]MAO Lina,LI Weihua.Research on enhancing the human-machine modeling ability for an extension model using the intelligent guide and KDML[J].CAAI Transactions on Intelligent Systems,2017,12(3):348-354.[doi:10.11992/tis.201610017]
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Research on enhancing the human-machine modeling ability for an extension model using the intelligent guide and KDML

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 12 Number of periods: 2017 3 Page number: 348-354 Column: 学术论文—智能系统 Public date: 2017-06-25
Title:
Research on enhancing the human-machine modeling ability for an extension model using the intelligent guide and KDML
Author(s):
MAO Li’na1;  LI Weihua2
1. Department of Mechanical and Electrical Engineering, Guangdong Industry Polytechnic, Guangzhou 510300, China;
2. School of Computers, Guangdong University of Technology, Guangzhou 510006, China
Keywords:
intelligent guide; KDML; natural language understanding; semantic; extension model; Agent; human-machine interaction; HowNet
CLC:
TP3
DOI:
10.11992/tis.201610017
Abstract:
When using a computer to establish an extension model for solving problems, the computer must be able to recognize problems described in natural languages, and, in particular, must understand the meaning of the problems. This is a very difficult task. Knowledge database mark-up language (KDML) in HowNet has a strong semantic information expression function. Through human-machine interaction, it can also reduce the difficulty that computers encounter when understanding natural language. A method to enhance the computer’s semantic processing ability, based on the human-machine interface agent’s intelligent guide and KDML, is proposed. The goals and conditions of the problems to be solved described in natural language are separated and formalized, making the computer establish the problem-solving extension model more effectively.
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