影响专利查全率的检索平台因素研究——以国内专利信息检索平台为例  

Research on the factors of retrieval platforms affecting the recall ratio of patents:taking domestic patent information retrieval platforms as an example

作　　者：王征清[1] WANG Zhengqing(Library,Fuzhou University,Fuzhou 350108,China)

机构地区：[1]福州大学图书馆,福建福州350108

出　　处：《江苏科技信息》2024年第24期18-24,共7页Jiangsu Science and Technology Information

基　　金：福建省创新战略研究计划项目,项目名称:专利开放许可信息披露机制建设与对策研究,项目编号:2023R0010。

摘　　要：专利信息检索平台是获取专利文献信息、开展专利信息服务的必备工具,其数据检出质量是开展专利文献信息检索和情报分析服务的基础保障。文章从数据更新、数据加工、检索字段3个维度,考察在相同检索条件下各专利信息检索平台影响查全率的因素。具体通过实际案例对比CNIPA、PSS等11种专利信息检索平台在数据更新周期、分类号加工、国省代码表达、组合字段处理等方面的检索结果差异,挖掘出导致差异的数据来源不同、数据加工错误、检索逻辑有别等因素,进而提出相关建议,为专利信息检索和分析人员更有效地使用各检索平台提供帮助。Patent information retrieval platforms are essential tools for obtaining patent literature information and carrying out patent information services.The quality of data retrieval is the fundamental guarantee for conducting patent literature information retrieval and intelligence analysis services.This paper examines the factors that affect the recall ratio of various patent information retrieval platforms under the same retrieval conditions from three dimensions:data update,data processing,and retrieval fields.Specifically,through actual cases,it compares the differences in retrieval results of 11 patent information retrieval platforms such as CNIPA and PSS in terms of data update cycle,classification number processing,expression of national and provincial codes,combination field processing,etc.,and uncovers the reasons for the differences such as different data sources,data processing errors,and different retrieval logics,and then puts forward relevant suggestions to help patent information retrieval and analysis personnel use each retrieval platform more effectively.

关 键 词：专利 检索平台 查全率 

分 类 号：G354[文化科学—情报学]