摘要
研究了专利信息中特征词组的半自动获取和标注方法,构建了一个可应用于专利检索系统中的领域知识分类体系,进而利用知识分类体系的语意检索功能为专利信息库构建了一个有效的检索模块,由此产生了完整的专利知识库系统。该系统对支持设计者进行技术创新具有较大的实用意义。
This paper studies the semiautomatic acquisition and marking method of feature words in patent information,and constructs a domain knowledge classification system used in the patent retrieval system.The paper further utilizes the semantic retrieval function of the knowledge classification system to construct an effective retrieval module for the patent information bank,as a result,an integrated knowledge base of the patent system is completed.The system has greater practical significance for designers in making technological innovation.
出处
《情报理论与实践》
CSSCI
北大核心
2012年第4期99-102,10,共5页
Information Studies:Theory & Application
关键词
半自动抽取
知识体系
专利检索
检索系统
semiautomatic extraction
knowledge system
patent retrieval
retrieval system