参考文献(References):
[1] 方曙,张娴,肖国华.专利情报分析方法及应用研究[J].图书情报知识,2007(4):64.
[2] KOSTOFF R N,BOYLAN R,SIMONS G R.Disruptive tech-nology roadmaps[J].Technological Forecasting & Social Change,2004,71:141.
[3] 鲁建厦,徐林燕,赵林斌,等.基于文献计量法的RFID研究现状分析[J].计算机集成制造系统,2017,23(11):2518.
[4] 李晓曼,宋红燕.面向专利情报研究的SAO语义结构分析方法述评[J].情报科学,2020,38(10):168.
[5] CHOI S,YOON J,KIM K,et al.SAO network analysis of patents for technology trends identification:a case study of polymer electrolyte membrane technology in proton exchange membrane fuel cells[J].Scientometrics,2011,88(3):865-866.
[6] KIM K,PARK K,LEE S.Investigating technology opportunities:the use of SAOx analysis[J].Scientometrics,2019,118(1):45.
[7] MA T T,ZHOU X,LIU J,et al.Combining topic modeling and SAO semantic analysis to identify technological opportunities of emerging technologies[J].Technological Forecasting & Social Change,2021,173:121159.
[8] 刘鹏,闫煜析,冯立杰,等.用户需求导向下基于三级技术功效矩阵的产品创新机会识别[J].情报理论与实践,2023,46(8):138.
[9] YOON J,KIM K.Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks[J].Scientometrics,2011,88(1):213.
[10] YANG C,HUANG C,SU J.An improved SAO network-based method for technology trend analysis:a case study of graphene[J].Journal of Informetrics,2018,12(1):271.
[11] 李乾瑞,郭俊芳,朱东华.基于形态分析和模糊一致矩阵识别技术机会[J].科研管理,2020,41(7):33.
[12] 马铭,王超,周勇,等.基于语义信息的核心技术主题识别与演化趋势分析方法研究[J].情报理论与实践,2021,44(9):106.
[13] YOON B,KIM S,KIM S,et al.Doc2vec-based link prediction approach using SAO structures:application to patent network[J].Scientometrics,2022,127(9):5385.
[14] OH M,JANG H,KIM S,et al.Main path analysis for tech-nological development using SAO structure and DEMATEL based on keyword causality[J].Scientometrics,2023,128(4):2079.
[15] PARK H,YOON J,KIM K.Identifying patent infringement using SAO based semantic technological similarities[J].Scientometrics,2012,90(2):515.
[16] WANG X F,REN H C,CHEN Y,et al.Measuring patent similarity with SAO semantic analysis[J].Scientometrics,2019,121(1):1.
[17] HOHERCHAK H,DARCHUK N,KRYVYI S.Representation,analysis,and extraction of knowledge from unstructured natural language texts[J].Cybernetics and Systems Analysis,2021,57(3):481.
[18] 曹国忠,杨雯丹,刘新星.基于主体-行为-客体(SAO)三元结构的专利分析方法研究综述[J].科技管理研究,2021,41(4):159-160.
[19] 张兆锋,张均胜,姚长青.一种基于知识图谱的技术功效图自动构建方法[J].情报理论与实践,2018,41(3):149.
[20] 翟东升,张京先,胡等金.基于SAO结构和词向量的专利技术功效图自动构建研究[J].情报理论与实践,2020,43(3):116.
[21] 段庆锋,蒋保建.基于SAO结构的专利技术功效图构建研究[J].现代情报,2017,37(6):48.
[22] TRAPPEY A J C,TRAPPEY C V,GOVINDARAJAN U H,et al.Construction and validation of an ontology-based technology function matrix:technology mining of cyber physical system patent portfolios[J].World Patent Information,2018,55:19.
[23] JHUANG A C C,SUN J J H,TRAPPEY A J C,et al.Computer supported technology function matrix construction for patent data analytics[C]//2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD),April 26-28,2017,Wellington,New Zealand.New York:IEEE,2017:457.
[24] ZHOU X,HUANG L,PORTER A,et al.Tracing the system transformations and innovation pathways of an emerging technology:solid lipid nanoparticles[J].Technological Forecasting & Social Change,2019,146:788-789.
[25] HU Z Y,FANG S,WEI L,et al.An SAO-based approach to technology evolution analysis using patent information:case study:graphene sensors[J].Chinese Journal of Library and Information Science,2015,8(3):64-65.
[26] 任海英,李真.基于输入输出型SAO网络的核心技术链识别方法研究:以量子计算领域为例[J].图书情报工作,2021,65(19):117.
[27] 龚永罡,郭远南.基于TF-IDF和word2Vec的中文文本自动摘要模型[J].中国新通信,2023,25(2):66-67.
[28] 吴宗卓.文本分类中TF-IDF算法的改进研究[J].计算技术与自动化,2022,41(2):85-86.
[29] BLONDEL V D,GUILLAUME J L,LAMBIOTTE R,et al.Fast unfolding of communities in large networks[J].Journal of Statistical Mechanics:Theory and Experiment,2008,10:2-3.