面向专利情报研究的SAO语义结构分析方法述评  

Review of SAO Semantic Structure Analysis for Patent Intelligence Research

作　　者：李晓曼[1] 宋红燕 LI Xiao-man;SONG Hong-yan(Institute of Agricultural Information Chinese Academy of Agricultural Sciences,Beijing 100081,China)

机构地区：[1]中国农业科学院农业信息研究所,北京100081

出　　处：《情报科学》2020年第10期168-176,共9页Information Science

基　　金：国家社会科学基金项目“基于SAO语义结构的专利技术演化与预测研究”(16BTQ067)。

摘　　要：【目的/意义】对主要的SAO语义结构方法及其在专利情报研究中的应用进行综述分析。【方法/过程】以SAO结构、专利分析、技术分析等关键词在中国知网、万方数据和Web of Science进行检索并参考相关会议,经过人工阅读和筛选,选取基于SAO结构在专利情报分析的相关研究进行综述。分别概括了SAO语义结构方法在专利情报分析中的相关技术,并通过技术演化分析和技术预测等典型应用场景进行方法剖析。SAO语义结构分析与传统的专利分析方法相比,主要弥补了文本语义信息的缺陷。【结果/结论】本研究有助于相关研究者全面了解SAO结构在技术情报分析中的相关技术及应用场景。SAO语义结构方法弥补了传统技术情报分析方法的不足,是情报研究方法的重要发展方向,随着方法的成熟,未来可以考虑应用到更多技术情报分析场景中。【Purpose/significance】This paper reviews the SAO semantic structure method for patent intelligence analysis.【Method/process】The authors retrieve CNKI,Wanfang data,Web of Science and relevant conference papers by the keywords of SAO structure,patent analysis and technology analysis.After manual reading and screening,we survey the SAO semantic structure research on patent intelligence analysis.We first summarize the related technologies of SAO semantic structure method in patent information analysis.Then,we analyze these method through typical application scenarios such as technology evolution analysis and technology forecast.Compared to the traditional intelligence analysis methods,SAO semantic structure analysis could process unstructured data and add semantic information.【Result/conclusion】This study is helpful for relevant researchers to fully understand the relevant technologies and application scenarios of SAO structure in technical intelligence analysis.SAO semantic structure method improves the performance of traditional patent intelligence analysis systems and become the future direction of information research methods.With the maturity of related method,more technical intelligence analysis scenarios can be considered in the future.

关 键 词：专利情报分析 文本语义挖掘 SAO结构 技术挖掘 

分 类 号：G306[文化科学]