情报杂志Issue(8)：145-149,5.
面向TRIZ理论的深度知识获取及应用研究*
On Acquisition and Application of Deep Knowledge Based on TRIZ Theory
摘要
Abstract
In order to help designers produce innovative solutions effectively, the deep knowledge based on TRIZ theory is achieved by u-sing data mining techniques and Chinese patent literature resources. First, the organizational storage form of the deep knowledge is ob-tained from the patent title, abstract, claims and specifications after being preprocessed. Then, the dynamic extended search function and automatic classification function of the patents are realized through the establishment of domain dictionaries and the knowledge base. Final-ly, the user can browse, display and search query results. The deep knowledge acquiring process contributes to the interdisciplinary appli-cation of patent database and the research of knowledge discovery and reusing. The process of applying and popularizing TRIZ theory a-mong ordinary designers is also explored.关键词
TRIZ理论/中文专利/文本挖掘/产品创新设计/知识获取Key words
TRIZ theory/Chinese patents/text mining/product innovation design/knowledge acquisition分类
信息技术与安全科学引用本文复制引用
鲁麒,任工昌,陈红柳..面向TRIZ理论的深度知识获取及应用研究*[J].情报杂志,2013,(8):145-149,5.基金项目
国家自然科学基金项目“基于深度知识的产品创新设计系统关键技术的研究”(编号:51175314) （编号:51175314）
“十二五”国家科技支撑计划项目“混凝土泵车类工程机械绿色再制造技术应用开发与集成示范”(编号:2012BAF02B01)。 （编号:2012BAF02B01）
