摘要
针对目前专利技术功效矩阵结构的构建大多由人工完成的现状,提出一种基于特征度指标和矩阵构建词汇模型的矩阵结构生成方法。特征度指标用于提高构建矩阵结构的候选技术词、功效词的相关度,矩阵构建词汇模型用于技术词、功效词的聚类优化和矩阵结构生成。此方法可以为自动构建专利技术功效矩阵提供技术支持和新思路。
For most of the patent technology-effect matrixes are now manually constructed,thus,a method for matrix structure construction based on feature degree and lexical model is presented.The feature degree is used for improving the correlation degree of candidate technical and effect words,and the lexical model for optimizing clustering of technical and effect words,generating matrix structure.This method provides technical support and new idea for automatically generating patent technology-effect matrix.
出处
《现代图书情报技术》
CSSCI
北大核心
2012年第2期53-59,共7页
New Technology of Library and Information Service
关键词
专利
技术功效矩阵
聚类
特征度
模型
Patent Technology-effect matrix Clustering Feature degree Model