基于技术关键词的学科领域协同演化分析实证研究
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摘要
[目的/意义]针对处于萌芽期的学科领域文献量不足、技术关键词欠缺问题。[方法/过程]采用跨学科领域协同演化分析方法,首先提取技术关键词,然后利用Word2vec词向量方法在摘要中提取语义近似的技术关键词,同时在跨学科文献中提取质优型技术关键词,最后对扩展的技术关键词进行聚类和演化分析。[结果/结论]在农业动物生殖细胞和干细胞调控领域进行实证分析。结果表明,目前在组织工程和统计分析方面的研究相对较少。在发育遗传学、形态学、表观遗传学、体外培养与保存、免疫细胞学和基因组学等方面仍存在技术空白。
[Purpose/Significance]Aiming at the problem of insufficient literature and the lack of technical keywords in the domain of discipline on emerging stage.[Methods/Process]The interdisciplinary coevolution analysis method was proposed.Firstly,extracting technical keywords is needed.Secondly,word2 vec method was used to extract similar technical keywords from abstracts.At the same time,high-quality technical keywords were extracted from interdisciplinary domain.Finally,the extended technical keywords were clustered and analyzed.[Results/Conclusion]Empirical analysis was carried out in the domain of reproductive cells and stem cells of agricultural animals.Result showed there were relatively few studies in tissue engineering and statistical analysis in the current study.And there were still technical gaps in developmental genetics,morphology,epigenetics,culture and preservation in vitro,immunocytology and genomics.
[Purpose/Significance]Aiming at the problem of insufficient literature and the lack of technical keywords in the domain of discipline on emerging stage.[Methods/Process]The interdisciplinary coevolution analysis method was proposed.Firstly,extracting technical keywords is needed.Secondly,word2 vec method was used to extract similar technical keywords from abstracts.At the same time,high-quality technical keywords were extracted from interdisciplinary domain.Finally,the extended technical keywords were clustered and analyzed.[Results/Conclusion]Empirical analysis was carried out in the domain of reproductive cells and stem cells of agricultural animals.Result showed there were relatively few studies in tissue engineering and statistical analysis in the current study.And there were still technical gaps in developmental genetics,morphology,epigenetics,culture and preservation in vitro,immunocytology and genomics.
引文
[1]樊霞,贾建林,王奥希.创新生态系统领域学科多样性测度研究[J].现代情报,2018,38(8):61-66,72.
[2]李春林,翁钢民.一流学科的演进特征及网络协同演化机理[J].中国科技论坛,2017,(1):26-31.
[3]刘洁.基于协同演化的企业发展研究[D].太原:山西大学,2010.
[4]Lewin A,Volberda H.Prolegomena on Coevolution:A Framework for Research on Strategy and New Organizational Forms[J].Organization Science,1999,10(5):519-534.
[5]Tsai F S,Hsieh L H Y,Fang S C,et al.The Co-evolution of Business Incubation and National Innovation Systems in Taiwan[J].Technological Forecasting and Social Change,2009,76(5):629-643.
[6]Stokes R G.Knowledge and Competitive Advantage:The Coevolution of Firms,Technology,and National Institutions(Review)[J].Technology & Culture,2006,47(1):229-231.
[7]刘自强,王效岳,白如江.语义分类的学科主题演化分析方法研究——以我国图书情报领域大数据研究为例[J].图书情报工作,2016,60(15):76-85,93.
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[9]李欣,黄鲁成.战略性新兴产业研发竞争态势分析理论方法与应用[M].北京:科学出版社,2016.
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[11]罗文馨,王园园.技术主题演化研究方法综述[J].知识管理论坛,2018,(5):255-265.
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[13]伊惠芳,吴红,李昌,等.基于主题生命周期与技术熵的石墨烯技术主题演化研究[J/OL].情报杂志:1-7.http://kns.cnki.net/kcms/detail/61.1167.G3.20190118.1555.008.html,2019-01-22.
[14]喻登科,彭静,刘彦宏,等.农业专利技术扩散的时空规律——以水稻抛秧技术为例[J].情报杂志,2017,36(12):90-97,105.
[15]李欣,黄鲁成.技术路线图方法探索与实践应用研究——基于文献计量和专利分析视角[J].科技进步与对策,2016,33(5):62-72.
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[17]李柏洲,李新.基于集对分析的企业技术依赖预警及其演化趋势测度[J].运筹与管理,2015,24(2):262-271.
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[19]罗双玲,张文琪,夏昊翔.基于半积累引文网络社区发现的学科领域主题演化分析——以“合作演化”领域为例[J].情报学报,2017,36(1):100-110.
[20]Martinelli A.An Emerging Paradigm or Just Another Trajectory?Understanding the Nature of Technological Changes Using Engineering Heuristics in the Telecommunications Switching Industry[J].Research Policy,2012,41(2):414-429.
[21]方曙,胡正银,庞弘燊,等.基于专利文献的技术演化分析方法研究[J].图书情报工作,2011,55(22):42-46.
[22]Chang P L,Wu C C,Leu H J.Using Patent Analyses to Monitor the Technological Trends in an Emerging Field of Technology:A Case of Carbon Nanotube Field Emission Display[J].Scientometrics,2010,82(1):5-19.
[23]陈亮.基于关联规则改进的技术演化分析方法研究[D].北京:中国科学院大学,2013.
[24]Huang Y,Zhu D,Qian Y,et al.A hybrid Method to Trace Technology Evolution Pathways:A Case Study of 3D Printing[J].Scientometrics,2017,111(1):185-204.
[25]李欣,谢前前,黄鲁成,等.基于SAO结构语义挖掘的新兴技术演化轨迹研究[J].科学学与科学技术管理,2018,39(1):17-31.
[26]Wang X,Qiu P,Zhu D,et al.Identification of Technology Development Trends Based on Subject-action-object Analysis:The Case of Dye-sensitized Solar Cells[J].Technological Forecasting & Social Change,2015,98(1):24-46.
[27]Yang C,Zhu F,Zhang G.SAO-basedtopic Modeling for Competitive Technical Intelligence:A Case Study in Graphenne[C]//World Scientific Proceedings Series on Computer Engineering and Information Science:Uncertainty Modelling in Knowledge Engineering and Decision Making.Singapore:World Scientific,2016:155-161.
[28]Othman R,Noordin M F,Gusmita R H,et al.SAO Extraction on Patent Discovery System Development for Islamic Finance and Banking[C]//International Conference on Information and Communication Technology for the Muslim World.Piscataway:IEEE,2017:59-63.
[29]陈亮,张静,张海超,等.层次主题模型在技术演化分析上的应用研究[J].图书情报工作,2017,(5):103-108.
[30]廖列法,勒孚刚.基于LDA模型和分类号的专利技术演化研究[J].现代情报,2017,37(5):13-18.
[2]李春林,翁钢民.一流学科的演进特征及网络协同演化机理[J].中国科技论坛,2017,(1):26-31.
[3]刘洁.基于协同演化的企业发展研究[D].太原:山西大学,2010.
[4]Lewin A,Volberda H.Prolegomena on Coevolution:A Framework for Research on Strategy and New Organizational Forms[J].Organization Science,1999,10(5):519-534.
[5]Tsai F S,Hsieh L H Y,Fang S C,et al.The Co-evolution of Business Incubation and National Innovation Systems in Taiwan[J].Technological Forecasting and Social Change,2009,76(5):629-643.
[6]Stokes R G.Knowledge and Competitive Advantage:The Coevolution of Firms,Technology,and National Institutions(Review)[J].Technology & Culture,2006,47(1):229-231.
[7]刘自强,王效岳,白如江.语义分类的学科主题演化分析方法研究——以我国图书情报领域大数据研究为例[J].图书情报工作,2016,60(15):76-85,93.
[8]李家洋.“跨越2030”农业科技发展战略[M].北京:中国农业科学技术出版社,2016:67-70.
[9]李欣,黄鲁成.战略性新兴产业研发竞争态势分析理论方法与应用[M].北京:科学出版社,2016.
[10]黄鲁成,蒋林杉,吴菲菲.萌芽期颠覆性技术识别研究[J/OL].科技进步与对策:1-7.http://kns.cnki.net/kcms/detail/42.1224.G3.20181016.1636.010.html,2019-01-22.
[11]罗文馨,王园园.技术主题演化研究方法综述[J].知识管理论坛,2018,(5):255-265.
[12]谢志明,张媛,贺正楚,等.新能源汽车产业专利趋势分析[J].中国软科学,2015,(9):127-141.
[13]伊惠芳,吴红,李昌,等.基于主题生命周期与技术熵的石墨烯技术主题演化研究[J/OL].情报杂志:1-7.http://kns.cnki.net/kcms/detail/61.1167.G3.20190118.1555.008.html,2019-01-22.
[14]喻登科,彭静,刘彦宏,等.农业专利技术扩散的时空规律——以水稻抛秧技术为例[J].情报杂志,2017,36(12):90-97,105.
[15]李欣,黄鲁成.技术路线图方法探索与实践应用研究——基于文献计量和专利分析视角[J].科技进步与对策,2016,33(5):62-72.
[16]张娴,方曙,王春华.专利引证视角下的技术演化研究综述[J].科学学与科学技术管理,2016,37(3):58-67.
[17]李柏洲,李新.基于集对分析的企业技术依赖预警及其演化趋势测度[J].运筹与管理,2015,24(2):262-271.
[18]祝清松,冷伏海.基于引文主路径文献共被引的主题演化分析[J].情报学报,2014,33(5):498-506.
[19]罗双玲,张文琪,夏昊翔.基于半积累引文网络社区发现的学科领域主题演化分析——以“合作演化”领域为例[J].情报学报,2017,36(1):100-110.
[20]Martinelli A.An Emerging Paradigm or Just Another Trajectory?Understanding the Nature of Technological Changes Using Engineering Heuristics in the Telecommunications Switching Industry[J].Research Policy,2012,41(2):414-429.
[21]方曙,胡正银,庞弘燊,等.基于专利文献的技术演化分析方法研究[J].图书情报工作,2011,55(22):42-46.
[22]Chang P L,Wu C C,Leu H J.Using Patent Analyses to Monitor the Technological Trends in an Emerging Field of Technology:A Case of Carbon Nanotube Field Emission Display[J].Scientometrics,2010,82(1):5-19.
[23]陈亮.基于关联规则改进的技术演化分析方法研究[D].北京:中国科学院大学,2013.
[24]Huang Y,Zhu D,Qian Y,et al.A hybrid Method to Trace Technology Evolution Pathways:A Case Study of 3D Printing[J].Scientometrics,2017,111(1):185-204.
[25]李欣,谢前前,黄鲁成,等.基于SAO结构语义挖掘的新兴技术演化轨迹研究[J].科学学与科学技术管理,2018,39(1):17-31.
[26]Wang X,Qiu P,Zhu D,et al.Identification of Technology Development Trends Based on Subject-action-object Analysis:The Case of Dye-sensitized Solar Cells[J].Technological Forecasting & Social Change,2015,98(1):24-46.
[27]Yang C,Zhu F,Zhang G.SAO-basedtopic Modeling for Competitive Technical Intelligence:A Case Study in Graphenne[C]//World Scientific Proceedings Series on Computer Engineering and Information Science:Uncertainty Modelling in Knowledge Engineering and Decision Making.Singapore:World Scientific,2016:155-161.
[28]Othman R,Noordin M F,Gusmita R H,et al.SAO Extraction on Patent Discovery System Development for Islamic Finance and Banking[C]//International Conference on Information and Communication Technology for the Muslim World.Piscataway:IEEE,2017:59-63.
[29]陈亮,张静,张海超,等.层次主题模型在技术演化分析上的应用研究[J].图书情报工作,2017,(5):103-108.
[30]廖列法,勒孚刚.基于LDA模型和分类号的专利技术演化研究[J].现代情报,2017,37(5):13-18.