知识组织

面向TRIZ的领域专利技术挖掘系统设计与实践

  • 胡正银 ,
  • 刘春江 ,
  • 隗玲 ,
  • 杨宁 ,
  • 徐源 ,
  • 许海云 ,
  • 文奕
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  • 1. 中国科学院成都文献情报中心 成都 610041;
    2. 中国科学院大学 北京 100049;
    3. 山西财经大学信息管理学院 太原 030006;
    4. 电子科技大学计算机科学与工程学院 成都 611731
胡正银(ORCID:0000-0002-5699-9891),副研究员,博士,E-mail:huzy@clas.ac.cn;刘春江(ORCID:0000-0001-8934-339X),助理研究员,硕士;隗玲(ORCID:0000-0002-0594-3134),讲师,博士研究生;杨宁(ORCID:0000-0001-9121-4458),副研究员,硕士;徐源(ORCID:0000-0003-4246-5730),助理研究员;许海云(ORCID:0000-0002-7453-3331),副研究员,博士;文奕(ORCID:0000-0001-9871-1035),副研究员,博士研究生。

收稿日期: 2016-09-09

  修回日期: 2016-12-21

  网络出版日期: 2017-01-05

基金资助

本文系中国科学院知识产权信息服务专项(项目编号:KFJ-EW-STS-032)和中国科学院西部之光项目“基于本体的专利文献技术挖掘系统研究与实践”研究成果之一。

Design and Practice of Domain Patent Tech Mining System Oriented to TRIZ

  • Hu Zhengyin ,
  • Liu Chunjiang ,
  • Wei Ling ,
  • Yang Ning ,
  • Xu Yuan ,
  • Xu Haiyun ,
  • Wen Yi
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  • 1. Chengdu Document and Information Centre, Chinese Academy of Sciences, Chengdu 610041;
    2. University of Chinese Academy of Sciences, Beijing 100049;
    3. School of Information and Management, Shanxi University of Finance and Economics, Taiyuan 030006;
    4. University of Electronic Science and Technology of China, Chengdu 611731

Received date: 2016-09-09

  Revised date: 2016-12-21

  Online published: 2017-01-05

摘要

[目的/意义] 针对面向TRIZ的专利技术深度、精准挖掘的需求,设计并开发一套领域专利技术挖掘系统。[方法/过程] 首先,归纳面向TRIZ的专利技术挖掘的具体需求,分析现有工具的不足。其次,提出领域专利技术挖掘系统的体系结构,总结其关键技术及解决方案。最后,开发一套面向TRIZ的领域专利技术挖掘原型系统,并进行大口径光学元件(LAOE)领域专利技术挖掘实践。[结果/结论] 该系统基于SAO(subject-action-object)三元组与简单知识对象,集成文本挖掘技术构建细粒度、多维度的领域技术索引,实现领域知识棱镜、面向TRIZ的语义检索与专利可视化分析功能,可以支持深度、精准的专利技术挖掘应用。

本文引用格式

胡正银 , 刘春江 , 隗玲 , 杨宁 , 徐源 , 许海云 , 文奕 . 面向TRIZ的领域专利技术挖掘系统设计与实践[J]. 图书情报工作, 2017 , 61(1) : 117 -124 . DOI: 10.13266/j.issn.0252-3116.2017.01.014

Abstract

[Purpose/significance] According to the requirements of deep and precise patent tech mining, this paper designed and developed a domain patent tech mining system oriented to TRIZ.[Method/process] This paper induced the requirements of patent tech mining oriented to TRIZ, analysed the disadvantages of exists tools, proposed a framework of domain patent tech mining system, and summarized key technologies and corresponding solutions. Based on these, a prototype of a domain patent tech mining system was developed.[Result/conclusion] The system considers SAO triples and simple knowledge objects as basic semantic units and includes a fine-grained, multi-dimensional domain tech index, which offers three services, semantic search service oriented to TRIZ, domain knowledge lens, and visualization analysis service, to support deep and precise patent tech mining.

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