摘要
可拓策略生成系统具有可拓策略生成机制,在计算机上协助人们生成解决矛盾问题的策略,但计算机理解人们的矛盾问题的能力一向很低,导致策略生成能力受限制.针对这个现状,提出了利用知网的语言信息处理能力增强计算机理解人们的矛盾问题的能力,通过学习知网的知识组织改进可拓策略生成系统的基础知识库结构,提高其策略生成能力.以提高客户价值问题为案例进行了分析,结果表明可拓策略生成机制得到了增强.同时,也扩大了知网的应用范围.
Extension strategy generating system has the extension strategy generating mechanisms. It helps people to generate strategies to solve contradiction problems on the computer. But the computer's ability to understand people's problems is always very low, limiting the strategy generative capacity. In view of this situation, it proposes the power of processing language information by HowNet be used to en- hance the computer's ability to understand the contradictory problems. The strategy generating capacity can be improved by learning from HowNet's knowledge organization to improve the basic knowledge base structure of the extension strategy generating system. Enhancing the customer value was given as the case study. The results show that the mechanisms of extension strategy generating have been enhanced. At the same time, the application range of HowNet has also been expanded.
出处
《广东工业大学学报》
CAS
2013年第2期1-6,共6页
Journal of Guangdong University of Technology
基金
国家自然科学基金资助项目(61273306)
广东省自然科学基金资助项目(815009001000041)
关键词
可拓学
策略生成
矛盾问题
知网
Extenics
strategy generation
contradiction problem
HowNet