合作专利分类体系(CPC)与国际专利分类体系(IPC)的映射分析

白林林, 祝忠明

知识管理论坛 ›› 2017, Vol. 2 ›› Issue (5) : 398-405.

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知识管理论坛 ›› 2017, Vol. 2 ›› Issue (5) : 398-405. DOI: 10.13266/j.issn.2095-5472.2017.043
学术探索

合作专利分类体系(CPC)与国际专利分类体系(IPC)的映射分析

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The Mapping Analysis Between the Cooperative Patent Classification System (CPC) and the International Patent Classification System (IPC)

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摘要

[目的/意义] 通过对合作专利分类体系(CPC)与国际专利分类体系(IPC)的映射分析与比较,以期为使用CPC与IPC进行专利分类提供借鉴。[方法/过程] 基于CPC与IPC分级方式按大类、小类、大组、小组4级对它们共有的A-H部进行映射数量比较分析。[结果/结论] CPC与IPC的分类原则基本保持一致,而且比IPC更加细分,增加了“2000系列(进行索引)”和适应新技术的Y部,其扩展性极强。认为CPC作为一种兼容性强且细分程度高的分类体系,必将成为提高检索效率、优化审查质量的高效工具。

Abstract

[Purpose/significance] A detailed comparison of the mapping between the Cooperative Patent Classification System (CPC) and the International Patent Classification System (IPC) is intended to provide references for the use of CPC and IPC for patent classification.[Method/process] This paper made a detailed mapping number analysis between CPC and IPC in terms of the class, subclass, group and subgroup on their common A-H sections. [Result/conclusion] The classification principle between the Cooperative Patent Classification System (CPC) and the International Patent Classification System (IPC) is basically consistent and CPC is more subdivided than the IPC. The “2000 series (indexing)” and the Y section of the new technology are added, showing CPC’s high extensibility. We believe that as a strong compatibility and high degree classification system, CPC will become an efficient tool to improve the efficiency of retrieval and optimize the review quality.

关键词

合作专利分类法(CPC) / 国际专利分类法(IPC) / 映射分析

Key words

Cooperative Patent Classification System (CPC) / International Patent Classification System (IPC) / mapping analysis

引用本文

导出引用
白林林 , 祝忠明. 合作专利分类体系(CPC)与国际专利分类体系(IPC)的映射分析[J]. 知识管理论坛. 2017, 2(5): 398-405 https://doi.org/10.13266/j.issn.2095-5472.2017.043
Bai Linlin , Zhu Zhongming. The Mapping Analysis Between the Cooperative Patent Classification System (CPC) and the International Patent Classification System (IPC)[J]. Knowledge Management Forum. 2017, 2(5): 398-405 https://doi.org/10.13266/j.issn.2095-5472.2017.043
中图分类号: G255   

参考文献

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朱新超, 霍翠婷, 刘会景. 合作专利分类系统(CPC)与传统专利分类系统的比较分析[J]. 数字图书馆论坛, 2013(9): 38-44.

作者贡献说明

白林林:负责论文的数据获取、提纲与撰写;

祝忠明:负责论文的修订。

基金

中国科学院文献情报能力建设专项“ 中国科学院知识资产存缴管理中心建设 ”(Y6ZG421001)

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