基于特征度和词汇模型的专利技术功效矩阵结构生成研究被引量：14

Research of Patent Technology-effect Matrix Construction Based on Feature Degree and Lexical Model

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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.

作者陈颖张晓林

机构地区中国医学科学院医学信息研究所中国科学院国家科学图书馆

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

分类号 G306 [文化科学]

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