| 面向TRIZ的领域专利技术挖掘系统设计与实践 |
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| 引用本文： | 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. |
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| 作者姓名： | 胡正银 刘春江 隗玲 杨宁 徐源 许海云 文奕 |
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| 作者单位： | 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 |
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| 基金项目： | 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。 |
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| 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。
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| 关 键 词： | 技术挖掘 SAO 语义TRIZ 知识棱镜 专利分析 |
| 收稿时间： | 2016-09-09 |
Design and Practice of Domain Patent Tech Mining System Oriented to TRIZ |
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| Hu Zhengyin,Liu Chunjiang,Wei Ling,Yang Ning,Xu Yuan,Xu Haiyun,Wen Yi.Design and Practice of Domain Patent Tech Mining System Oriented to TRIZ[J].Library and Information Service,2017,61(1):117-124. |
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| Authors: | Hu Zhengyin Liu Chunjiang Wei Ling Yang Ning Xu Yuan Xu Haiyun Wen Yi |
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| Institution: | 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 |
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| 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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| Keywords: | tech mining Subject-Action-Object semantic TRIZ knowledge lens patent analysis |
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