摘要
为了更好地辅助设计人员产生可能的创新解,以TRIZ理论为基础,采用数据挖掘技术为手段,利用中文专利文献资源以获取深度知识。通过构建中文专利知识获取模型,得到专利文本的深度知识获取的一般过程。首先,分别从专利名称、摘要、权利要求书和说明书等部分预处理后获取深度知识组织存储形式,然后通过建立领域词典及知识库实现专利的动态扩展检索功能和专利的自动分类功能。最后用户可以进行浏览,结果显示和检索查询。该深度知识获取过程有助于专利库跨学科应用和知识发现与重用研究,并且探索了TRIZ理论由理论的高度变成被普通设计者接受的一般的理解并实际应用的过程。
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 rifle, abstract, claims and specifications after being preprocessed. Then, the dynamic extended march 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.
出处
《情报杂志》
CSSCI
北大核心
2013年第8期145-149,共5页
Journal of Intelligence
基金
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)
"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)
