核心专利识别方法研究  

Research on the Methods of Identifying Core Patents

作　　者：祁延莉[1] 刘西琴[2] 

机构地区：[1]北京大学信息管理系,北京100871 [2]中国联通深圳分公司,广东深圳518000

出　　处：《情报理论与实践》2016年第11期5-9,共5页Information Studies:Theory & Application

基　　金：国家社会科学基金一般项目"创新驱动战略的情报保障研究"的阶段成果之一;项目编号:16BTQ058

摘　　要：核心专利识别是专利信息分析与服务的主要方法之一。国内常用的核心专利识别方法包括专家智慧法、专利指标频次统计法、专利指标体系法、基于布拉德福定律的分析方法、专利共类分析法、政府投资背景分析法、专利诉讼信息分析法。文章归纳并探讨了这些方法的理论基础、操作步骤、优缺点和适用环境,旨在为专利分析研究人员选择适当的分析方法提供借鉴。Core patent identification is one of the main methods of patent information analysis and service. This paper focuses on the methods commonly used in identifying core patent, including Delphi method, patent indicators frequency statistics, patent indicators portfolio analysis, the analysis method based on Bradford＇ s law, patent co-classification analysis, the government investment background analysis and patent litigation information analysis. The paper summarizes and discusses the theoretical basis, steps, advantages and disadvantages as well as applicable environment of the above methods, aiming to provide suggestions for patent researchers to choose appropriate analysis method in identifying core patents.

关 键 词：核心专利 识别方法 专利分析 

分 类 号：G306[文化科学]