基于专利信息分析的创新技术预测方法综述  

Review of Innovative Technology Forecasting Methods Based on Patent Analysis

作　　者：旷景明 兰小筠[1] 

机构地区：[1]中南大学医药信息系,长沙410078

出　　处：《情报杂志》2014年第9期33-39,50,共8页Journal of Intelligence

摘　　要：专利信息包含着技术创新和发展的相关数据,是企业创新活动非常有价值的信息资源。专利分析是企业创新技术预测管理的有效工具。较为全面地综述了目前国内外基于专利引文分析、基于专利网络分析、基于关键词专利地图和基于TRIZ理论的创新预测研究方法及其应用进展,并在此基础上综合比较了这些方法的优势和操作的局限性,以期指导有效地利用专利分析工具来促进企业技术创新的研究活动。Containing vast data of technology innovation and development, patent information is a very valuable information resource for innovation activities. Patent analysis is an effective tool for innovation forecasting. The paper reviewed the methods and applications of innovation forecasting both in China and aboard, which are based on patent citation analysis, patent network analysis, patent map based on keywords and TRIZ theory. Moreover, the pros and cons of those methods are compared in the paper, aiming at promoting technological innovation and research activities by using the tools of patent analysis effectively.

关 键 词：专利分析 专利地图 创新预测 TRIZ理论 引文分析 

分 类 号：G353.11[文化科学—情报学]