[1] TAHAMTAN I, BORNMANN L. Creativity in science and the link to cited references:is the creative potential of papers reflected in their cited references?[J]. Journal of informetrics,2018, 12(3):906-930.
[2] KOSTOFF R. The use and misuse of citation analysis in research evaluation[J]. Scientometrics, 1998, 43(1):27-43.
[3] 苏新宁,杨国立.我国情报学学科建设研究进展[J].情报学进展, 2020(13):1-38.(SU X N, YANG G L. Progress of research on the construction of the discipline of intelligence science in China[J]. Advances in information science,2020(13):1-38.)
[4] 王发生,毛君莲.隐含信息的重组与知识创新[J].情报科学, 2000(5):394-396.(WANG F S, MAO J L. Recombination of implicit information and knowledge innovation[J]. Information science, 2000(5):394-396.)
[5] 裴沛.基于学科信息门户的知识激活与信息构建[J].科技进步与对策, 2006(10):118-120.(PEI P. The study of activation knowledge and information architecture based on subject portal[J]. Science&technology progress and policy, 2006(10):118-120.)
[6] 钱学森.科技情报工作的科学技术[J].图书馆学通讯,1983(4):44-51.(QIAN X S. Science and technology for scientific and technological intelligence[J]. Journal of library science in China, 1983(4):44-51.)
[7] CHEN L, FANG H. An automatic method for extracting innovative ideas based on the Scopus®database[J]. Knowledge organization, 2019, 46(3):171-186.
[8] 徐雷,张亚菲,叶均玲.科技文献创新内容的识别、组织与应用进展[J].情报学报, 2024, 43(2):237-250.(XU L,ZHANG Y F, YE J L. Advances in identification, organization,and application of innovative content in scientific literature[J].Journal of the China Society for Scientific and Technical Information, 2024, 43(2):237-250.)
[9] 罗卓然,王玉琦,钱佳佳,等.学术论文创新性评价研究综述[J].情报学报, 2021, 40(7):780-790.(LUO Z R, WANG Y Q, QIAN J J, et al. Research review on innovation evaluation of academic papers[J]. Journal of the China Society for Scientific and Technical Information, 2021, 40(7):780-790.)
[10] 李晶,杨雪,苏秋丹,等.基于知识单元理论的科技成果创新性测度研究述评[J].现代情报, 2023, 43(8):161-177.(LI J, YANG X, SU Q D, et al. Review of the research on the measurement of innovation of scientific and technological achievements based on the theory of knowledge units[J]. Journal of modern information, 2023, 43(8):161-177.)
[11] 沈雪莹,欧石燕.科学文献知识单元抽取及应用研究:梳理与展望[J].情报理论与实践, 2022, 45(12):195-207.(SHEN X Y, OU S Y. Research on extraction and application of knowledge units in scientific literature:reviews and prospects[J]. Information studies:theory&application, 2022, 45(12):195-207.)
[12] 曹树金,闫颂,李睿婧,等.科技论文创新知识图谱构建与应用设计--以情报学期刊论文为例[J].中国图书馆学报, 2025, 51(1):82-100.(CAO S J, YAN S, LI R J, et al.Construction and application design of innovation knowledge graph in scientific papers:a case study of information science journal papers[J]. Journal of library science in China, 2025,51(1):82-100.)
[13] 新闻学与传播学名词审定委员会.新闻学与传播学名词[M].北京:商务印书馆, 2022.(The Journalism and Communication Terminology Review Committee. Terminologies in journalism and communication studies[M]. Beijing:The Commercial Press,2022)
[14] 白如江,祝娜,王效岳.语义增强的科技创新内容表征研究[J].情报理论与实践, 2016, 39(3):73-79.(BAI R J, ZHU N, WANG X Y. Research on the representation of technical innovation content with enhanced semantics[J]. Information studies:theory&application, 2016, 39(3):73-79.)
[15] 曹树金,赵浜.面向学术论文创新内容的知识图谱构建与应用[J].现代情报, 2021, 41(12):28-37.(CAO S J, ZHAO B.The construction and application of knowledge graph for the innovative content of academic papers[J]. Journal of modern information, 2021, 41(12):28-37.)
[16] 马费成.情报学的进展与深化[J].情报学报, 1996, 15(5):22-28.(MA F C. Progress in information science[J]. Journal of the China Society for Scientific and Technical Information, 1996,15(5):22-28.)
[17] LEE Y N, WALSH J P, WANG J. Creativity in scientific teams:Unpacking novelty and impact[J]. Research policy, 2015, 44(3):684-697.
[18] 吴丹,徐爽,李秀园,等.近十年我国图书馆学研究中的理论使用分析[J].图书与情报, 2019(6):41-51, 2.(WU D, XU S, LI X Y, et al. Research on the usage of theory of library science in China of past decade[J]. Library&information, 2019(6):41-51,2.)
[19] 化柏林.学术论文中方法知识元的类型与描述规则研究[J].中国图书馆学报, 2016, 42(1):30-40.(HUA B L. Types and description rules of knowledge elements about method in academic papers[J]. Journal of library science in China, 2016,42(1):30-40.)
[20] 章成志,李铮.基于学术论文全文的创新研究评价句抽取研究[J].数据分析与知识发现, 2019(10):12-19.(ZHANG C Z,LI Z. Extracting sentences of research originality from full text academic articles[J]. Data analysis and knowledge discovery,2019(10):12-19.)
[21] 温浩,乔晓东.文摘创新点的语义本体模型研究[J].情报学报, 2017, 36(9):964-971.(WEN H, QIAO X D. The semantic ontology model of abstract innovation[J]. Journal of the China Society for Scientific and Technical Information, 2017, 36(9):964-971.)
[22] HEFFERNAN K, TEUFEL S. Identifying problems and solutions in scientific text[J]. Scientometrics, 2018, 116(2):1367-1382.
[23] GUO Y, SILINS I, STENIUS U, et al. Active learning-based information structure analysis of full scientific articles and two applications for biomedical literature review[J]. Bioinformatics,2013, 29(11):1440-1447.
[24] 蔡乐,罗卓然,陆伟.学术论文科研贡献类型自动识别研究[J].情报理论与实践, 2023, 46(6):168-175.(CAI L, LUO Z R,LU W. Research on automatic recognition of scientific research contribution types of academic papers[J]. Information studies:theory&application, 2023, 46(6):168-175.)
[25] BASALDELLA M, ANTOLLI E, SERRA G, et al. Bidirectional LSTM recurrent neural network for keyphrase extraction[C]//14th Italian research conference on digital libraries. digital libraries and multimedia archives. Udine:Springer, 2018:180-187.
[26] 余丽,钱力,付常雷,等.基于深度学习的文本中细粒度知识元抽取方法研究[J].数据分析与知识发现, 2019(1):38-45.(YU L, QIAN L, FU C L, et al. Extracting fine-grained knowledge units form texts with deep learning[J]. Data analysis and knowledge discovery, 2019(1):38-45.)
[27] 罗卓然,蔡乐,钱佳佳,等.学术论文创新贡献句识别研究[J].图书情报工作, 2021, 65(12):93-100.(LUO Z R, CAI L, QIAN J J, et al. Research on the recognition of innovative contribution sentences of academic papers[J]. Library and information service,2021, 65(12):93-100.)
[28] 温浩.科技文摘创新点语义识别与分类方法研究[J].情报学报, 2019, 38(3):249-256.(WEN H. Semantic recognition and classification method of innovation points in scientific and technological abstracts[J]. Journal of the China Society for Scientific and Technical Information, 2019, 38(3):249-256.)
[29] 周海晨,郑德俊,郦天宇.学术全文本的学术创新贡献识别探索[J].情报学报, 2020, 39(8):845-851.(ZHOU H C,ZHENG D J, LI T Y. Research on the identification of academic innovation contributions of full academic texts[J]. Journal of the China Society for Scientific and Technical Information, 2020,39(8):845-851.)
[30] 曹树金.生成式AI在情报领域的应用及效果[J].情报资料工作, 2023, 44(5):5.(CAO S J. The application and effects of generative AI in the field of information[J]. Information and documentation services, 2023, 44(5):5.)
[31] 王雅琪,曹树金. ChatGPT用于论文创新性评价的效果及可行性分析[J].情报资料工作, 2023, 44(5):28-38.(WANG Y Q, CAO S J. The effect and feasibility analysis of CHATGPT used in paper innovativeness evaluation[J]. Information and documentation services, 2023, 44(5):28-38.)
[32] 陆伟,刘寅鹏,石湘,等.大模型驱动的学术文本挖掘--推理端指令策略构建及能力评测[J].情报学报, 2024, 43(8):946-959.(LU W, LIU Y P, SHI X, et al. Large language modeldriven academic text mining:construction and evaluation of inference-end prompting strategy[J]. Journal of the China Society for Scientific and Technical Information, 2024, 43(8):946-959.)
[33] 张恒,赵毅,章成志.基于SciBERT与ChatGPT数据增强的研究流程段落识别[J].情报理论与实践, 2024, 47(1):164-172, 153.(ZHANG H, ZHAO Y, ZHANG C Z. Recognition of research workflow paragraphs based on SCIBERT and CHATGPT data augmentation[J]. Information studies:theory&application, 2024, 47(1):164-172, 153.)
[34] 叶名玮,汤嘉,郭燕,等.基于大语言模型的命名实体识别[J].计算机系统应用, 2024, 33(8):257-263.(YE M W, TANG J,GUO Y, et al. Named entity recognition based on large language model[J]. Computer systems&applications, 2024, 33(8):257-263.)
[35] 刘萍,吴琼.基于形式概念分析的学科知识结构探测--以图书情报学为例[J].图书情报工作, 2014, 58(18):50-65.(LIU P, WU Q. Detecting disciplinary knowledge structure based on formal concept analysis:an empirical investigation on library and information science[J]. Library and information service, 2014,58(18):50-65.)
[36] 胡玉宁,胡观伟.多源主题融合的科学知识结构模型构建与实证研究[J].情报理论与实践, 2019, 42(7):100-105.(HU Y N, HU G W. The construction of scientific knowledge structure model based on integrating subjects and empirical research[J].Information studies:theory&application, 2019, 42(7):100-105.)
[37] 张发亮,刘君杰,周沫.领域知识结构基础理论及构建研究[J].情报杂志, 2018, 37(2):188-193.(ZHANG F L, LIU J J, ZHOU M. On the basic theory and construction of field knowledge structure[J]. Journal of intelligence, 2018, 37(2):188-193.)
[38] DING Y, CHOWDHURY G G, FOO S. Bibliometric cartography of information retrieval research by using co-word analysis[J].Information processing&management, 2001, 37(6):817-842.
[39] 滕广青,杨明秋,田依林,等. Folksonomy模式中的知识群落及其核心知识分析[J].图书情报工作, 2015, 59(22):124-129.(TENG G Q, YANG M Q, TIAN Y L, et al. Analysis on knowledge communities and core knowledge in Folksonomy[J].Library and information service, 2015, 59(22):124-129.)
[40] 徐雷,潘珺.知识网络等相关概念比较分析[J].情报科学, 2017, 35(12):10-15.(XU L, PAN J. Discussion about the differences between concepts related to knowledge network[J].Information science, 2017, 35(12):10-15.)
[41] 罗瑞,许海云,刘亚辉.基于结构熵的科学突破主题识别--以基因工程疫苗领域为例[J].情报理论与实践, 2021, 44(5):106-114, 99.(LUO R, XU H Y, LIU Y H. Identifying scientific breakthrough topics using structure entropy:taking the study field of genetic engineering vaccines as an example[J]. Information studies:theory&application, 2021, 44(5):106-114, 99.)
[42] 段庆锋,陈红,闫绪娴,等.基于知识结构突变的学科新兴主题识别研究[J].情报学报, 2023, 42(9):1018-1028.(DUAN Q F, CHEN H, YAN X X, et al. Identifying emerging scientific topics by abrupt change of knowledge structure[J]. Journal of the China Society for Scientific and Technical Information, 2023,42(9):1018-1028.)
[43] 陈虹枢,宋亚慧,金茜茜,等.动态主题网络视角下的突破性创新主题识别:以区块链领域为例[J].图书情报工作,2022, 66(10):45-58.(CHEN H S, SONG Y H, JIN Q Q, et al.Radical innovative topic identification from a perspective of dynamic topic network:Taking the field of blockchain as an example[J]. Library and information service, 2022, 66(10):45-58.)
[44] SAVOV P, JATOWT A, NIELEK R. Towards understanding the evolution of the WWW conference[C]//Proceedings of the26th international conference on World Wide Web companion.Republic and Canton of Geneva, Switzerland:International World Wide Web Conferences Steering Committee, 2017:835-836.
[45] 杨京,王芳,白如江.一种基于研究主题对比的单篇学术论文创新力评价方法[J].图书情报工作, 2018, 62(17):75-83.(YANG J, WANG F, BAI R J. A method to evaluate academic papers'innovation based on the research theme comparing[J].Library and information service, 2022, 39(4):75-83.)
[46] SAVOV P, JATOWT A, NIELEK R. Identifying breakthrough scientific papers[J]. Information processing&management,2020, 57(2):102168.
[47] 曹树金,曹茹烨.情报学论文创新性评价研究--LDA和SVM融合方法的应用[J].图书情报知识, 2022, 39(4):56-67.(CAO S J, CAO R Y. Evaluation of paper innovativeness in information science by a method integrated of LDA and SVM[J]. Documentation, information&knowledge, 2022,39(4):56-67.)
[48] 李肖俊,邵必林.多源异构数据情境中学术知识图谱模型构建研究[J].现代情报, 2020, 40(6):88-97.(LI X J, SHAO B L. Research on the construction of academic knowledge graph model in multi-source heterogeneous data situation[J]. Journal of modern information, 2020, 40(6):88-97.)
[49] DE DIEGO I M, GONZALEZ-FERNANDEZ C, FERNANDEZISABEL A, et al. System for evaluating the reliability and novelty of medical scientific papers[J]. Journal of informetrics,2021, 15(4):101188.
[50] 曹树金,曹茹烨.基于知识图谱的科技论文创新点动态识别研究[J].现代情报, 2022, 42(12):28-41, 82.(CAO S J, CAO R Y. Research on dynamic recognition of innovation points in scientific papers based on knowledge graph[J]. Journal of modern information, 2022, 42(12):28-41, 82.)
[51] 戎军涛,索传军,周彦廷,等.基于创新知识元谱系的学术论文新颖性测度研究[J].图书情报工作, 2024, 68(1):27-38.(RONG J T, SUO C J, ZHOU Y T, et al. Novelty measurement of academic literature based on the innovative knowledge elements genealogy[J]. Library and information service, 2024, 68(1):27-38.)
[52] 胡志刚,孙太安,王贤文.引用语境中的线索词分析--以Journal of Informetrics为例[J].图书情报工作, 2017,61(23):25-33.(HU Z G, SUN T A, WANG X W. Citation context analysis based on cue words:a case study of Journal of Informetrics[J]. Library and information service, 2017, 61(23):25-33.)
[53] WANG X, YANG X, DU J, et al. A deep learning approach for identifying biomedical breakthrough discoveries using context analysis[J]. Scientometrics, 2021, 126(7):5531-5549.
[54] 马瑞敏,刘志芳,吕宇涵,等.基于引用评论加权的论文代表作遴选研究[J].情报学报, 2023, 42(3):279-288.(MA R M,LIU Z F, LV Y H, et al. Representative paper selection based on citation comment weighing[J]. Journal of the China Society for Scientific and Technical Information, 2023, 42(3):279-288.)
[55] 刘越,郑德俊,程为.面向信息资源管理领域的学术创新特征分析[J].图书情报工作, 2024, 68(4):83-96.(LIU Y, ZHENG D J, CHENG W. Analysis of academic innovation characteristics in the field of information resource management[J]. Library and information service, 2024, 68(4):83-96.)
[56] 魏晓俊,谭宗颖,吕千千.基于引用内容的成果价值点发现方法研究[J].图书情报工作, 2023, 67(6):116-124.(WEI X J, TAN Z Y, LV Q Q. Research on discovering value points of achievements based on citation content[J]. Library and information service, 2023, 67(6):116-124.)
[57] 邓珞华.词频分析--一种新的情报分析研究方法[J].大学图书馆通讯, 1988(2):18-25.(DENG L H. Word frequency analysis is a new research method of intelligence analysis[J].Journal of academic libraries, 1988(2):18-25.)
[58] KLEINBERG J. Bursty and hierarchical structure in streams[J].Data mining and knowledge discovery, 2003, 7(4):373-397.
[59] WU Q Q, ZHANG H B, LAN J. K-State automaton burst detection model based on KOS:emerging trends in cancer field[J]. Journal of information science, 2015, 41(1):16-26.
[60] 彭国超,孔泳欣,王玉文.多维指标融合的主题突变检测研究[J].情报学报, 2022, 41(6):584-593.(PENG G C, KONG Y X, WANG Y W. Burst term detection study based on multiindicators[J]. Journal of the China Society for Scientific and Technical Information, 2022, 41(6):584-593.)
[61] HAWKINS D M. Identification of outliers[M]. London:Chapman and Hall, 1980.
[62] LEE J, PARK S, LEE J. Technology opportunity analysis based on machine learning[J]. Axioms, 2022, 11(12):708.
[63] 李秀霞,邵作运.基于离群主题词跨学科组合的学术创新机会发现研究[J].情报理论与实践, 2023, 46(12):122-130.(LI X X, SHAO Z Y. Research on the discovery of academic innovation opportunity based on the interdisciplinary combination of outlier topic words[J]. Information studies:theory&application, 2023,46(12):122-130.)
[64] JEON D, LEE J, AHN J M, et al. Measuring the novelty of scientific publications:a fastText and local outlier factor approach[J]. Journal of informetrics, 2023, 17(4):101450.
[65] YANG A J. Unveiling the impact and dual innovation of funded research[J]. Journal of informetrics, 2024, 18(1):101480.
