面向TRIZ的领域专利技术挖掘系统设计与实践

发布时间：2018-05-04 17:30

本文选题：技术挖掘 + SAO　；参考：《图书情报工作》2017年01期

【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。
[Abstract]:In order to meet the requirements of TRIZ-oriented patent technology depth and precision mining, a domain patent technology mining system is designed and developed. Methods / processes: firstly, the specific requirements of patent technology mining for TRIZ are summarized, and the shortcomings of existing tools are analyzed. Secondly, the architecture of domain patent mining system is put forward, and its key technologies and solutions are summarized. Finally, a prototype system of domain patent technology mining for TRIZ is developed, and the field patent technology mining practice of large aperture optical element is carried out. [results / conclusion] this system is based on SAOO subject-action-objecttriple and simple knowledge object, integrates text mining technology to construct fine grained, multi-dimensional domain technology index, and realizes domain knowledge prism. TRIZ-oriented semantic retrieval and patent visual analysis can support deep and accurate patent technology mining applications.
【作者单位】：中国科学院成都文献情报中心;中国科学院大学;山西财经大学信息管理学院;电子科技大学计算机科学与工程学院;
【基金】：中国科学院知识产权信息服务专项(项目编号:KFJ-EW-STS-032);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
【分类号】：TP391.1;G306

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