基于类词映射的我国新兴“智慧”概念国际适用性研究——针对Smart、Intelligent与Wisdom的择用困境
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摘要
随着社会产业化与智能化融合的加速,一系列"智慧"概念得以涌现。针对当前国内研究者对Smart、Intelligent与Wisdom"智慧"概念词英文表达的择用困境,本文进行了以下研究:(1)应用CNKI平台检索出了国内研究论文中与"智慧"概念相关的样本词,然后借助所构建的样本词矩阵关系表达及其相似性计算方法选择出了目前国内的新兴"智慧"概念相关高频共现样本词,基于此来确定了当前国内的核心"智慧"概念词集合;(2)在参数化表达及相关性分析模型的支持下,挖掘出Web of ScienceTM核心合集中与这些核心"智慧"概念词集合所对应的Smart、Intelligent和Wisdom"智慧"概念类词,从而建立映射关系网络;(3)依据所构建的分布特征和集中性测度模型,最终揭示了Smart、Intelligent和Wisdom"智慧"概念类词的全球分布性和集中性。研究表明:Smart"智慧"概念类词在全球各国的分布性上相对比较均衡,并且在全球绝大多数国家和语种维度上的集中系数均比较高,说明以Smart为主的"智慧"概念词表达占据了国际主流位置。
With the convergence of industry and intelligent technology,a serious of the concept of smart has emerged.In order to solve researchers' problem of choosing an appropriate vocabulary to express the concept of smart within"smart","intelligent"and"wisdom",this paper does some works as follows:(1)retrieving the vocabularies that are related to the concept of smart from the research paper in CNKI database.Then,this paper selects the high frequency of co-occurrence vocabularies by developing matrix relationships and using the method of similarity calculation.(2)By using parametric expression and correlation analysis model,this paper mines the vocabulary group of smart,intelligent and wisdom in Web of ScienceTM,which is the counter part of the Chinese vocabulary group.After this step,a mapping network is built.(3)Based on the centralized and distributed measuring models,this study reveals the centralized and distributed features of the vocabulary groups of smart,intelligent and wisdom.The findings demonstrate that the vocabulary group of smart is distributed relatively equilibrium around the world.Meanwhile,the concentration factor is higher than other vocabulary groups in majority of countries and languages.These results indicate that using"smart"to express the concept is the mainstream in international community.
With the convergence of industry and intelligent technology,a serious of the concept of smart has emerged.In order to solve researchers' problem of choosing an appropriate vocabulary to express the concept of smart within"smart","intelligent"and"wisdom",this paper does some works as follows:(1)retrieving the vocabularies that are related to the concept of smart from the research paper in CNKI database.Then,this paper selects the high frequency of co-occurrence vocabularies by developing matrix relationships and using the method of similarity calculation.(2)By using parametric expression and correlation analysis model,this paper mines the vocabulary group of smart,intelligent and wisdom in Web of ScienceTM,which is the counter part of the Chinese vocabulary group.After this step,a mapping network is built.(3)Based on the centralized and distributed measuring models,this study reveals the centralized and distributed features of the vocabulary groups of smart,intelligent and wisdom.The findings demonstrate that the vocabulary group of smart is distributed relatively equilibrium around the world.Meanwhile,the concentration factor is higher than other vocabulary groups in majority of countries and languages.These results indicate that using"smart"to express the concept is the mainstream in international community.
引文
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[29]Stoyanov S,Jablokow K,Rosas S R,et al.Concept mapping-An effective method for identifying diversity and congruity in cognitive style[J].Evaluation and Program Planning,2017(60):238-244.
[30]白华.利用标签-概念映射方法构建多元集成知识本体研究[J/OL].图书情报工作,2015,59(17):127-133.
[31]邓盼盼,常春.基于精确匹配的概念映射关系规则研究[J].图书情报工作,2013,57(16):25-29.
[32]陈辰.叙词表概念映射研究[J].图书馆论坛,2015,35(1):37-42.
[33]Gao W,Farahani M R,Aslam A.Distance learning techniques for ontology similarity measuring and ontology mapping[J].Cluster Computing-The Journal of Networks Software Tools and Applications,2017,20(2):959-968.
[34]Sicilia A,Nemirovski G,Nolle A.Map-On:A web-based editor for visual ontology mapping[J].Semantic Web,2017,8(6):969-980.
[35]赵晋巍,钱建军,真溱.本体映射系统研究综述[J].情报理论与实践,2010,33(5):120-123.
[36]潘有能,刘朝霞.本体映射技术在关联数据中的应用研究[J].情报科学,2015,33(1):54-56,62.
[37]黄福常,于娟.基于本体结构量化的本体概念映射方法研究[J].情报杂志,2015,34(11):145-149.
[38]刘启元,叶鹰.文献题录信息挖掘技术方法及其软件SATI的实现——以中外图书情报学为例[J].信息资源管理学报,2012(01):50-58.
[2]盛朝迅,姜江.德国的“工业4.0计划”[J].宏观经济管理,2015(5):85-86.
[3]刘亚威.德国“工业4.0”之“智慧工厂”计划(上)[J].智慧工厂,2015(11):38-40.
[4]刘亚威.德国“工业4.0”之“智慧工厂”计划(中)[J].智慧工厂,2015(12):26-29.
[5]刘亚威.德国“工业4.0”之“智慧工厂”计划(下)[J].智慧工厂,2016(1):30-33.
[6]延建林,孔德婧.解析“工业互联网”与“工业4.0”及其对中国制造业发展的启示[J].中国工程科学,2015,17(7):141-144.
[7]杜传忠,杨志坤.德国工业4.0战略对中国制造业转型升级的借鉴[J].经济与管理研究,2015(7):82-87.
[8]岳孜.中国制造2025背景下制造业智能化发展分析[J].社会科学战线,2016(11):261-264.
[9]周济.智能制造——“中国制造2025”的主攻方向[J].中国机械工程,2015,26(17):2273-2284.
[10]李健旋.美德中制造业创新发展战略重点及政策分析[J].中国软科学,2016(9):37-44.
[11]贾根良.第三次工业革命与工业智能化[J].中国社会科学,2016(6):87-106.
[12]孙立.工业大数据对智慧云制造的推动与创新[J].科技管理研究,2016,36(13):156-158.
[13]王延飞,赵柯然,何芳.重视智能技术凝练情报智慧——情报、智能、智慧关系辨析[J].情报理论与实践,2016,39(2):1-4.
[14]许庆瑞,吴志岩,陈力田.智慧城市的愿景与架构[J].管理工程学报,2012,26(4):1-6.
[15]Kourtit K,Nijkamp P,Steenbruggen J.The significance of digital data systems for smart city policy[J].Socio-Economic Planning Sciences,2016,58(2017):13-21.
[16]Drubin C.China,Japan and South Korea lead Asian smart city initiative deployments[J].Microwave Journal.2017,60(06):51-52.
[17]杨现民,余胜泉.智慧教育体系架构与关键支撑技术[J].中国电化教育,2015(1):77-84.
[18]Reychav I,Warkentin M,Ndicu M.Tablet adoption with smart school website technology[J].Journal of Computer Information Systems,2016,56(4):280-287.
[19]张新,杨建国.智慧交通发展趋势、目标及框架构建[J].中国行政管理,2015(4):150-152.
[20]Oswald K F.A brief history of smart transportation infrastructure[J].Transfers-Interdisciplinary Journal of Mobility Studies,2016,6(3):123-128.
[21]王要武,吴宇迪,薛维锐.基于新兴信息技术的智慧施工理论体系构建[J].科技进步与对策,2013,33(23):39-43.
[22]Niu Y H,Lu W S,Chen K,et al.Smart construction objects[J].Journal of Computing in Civil Engineering,2016,30(4):040150701-0401507011.
[23]李纲,李阳.关于智慧城市与城市应急决策情报体系[J].图书情报工作,2015(4):76-82.
[24]王健.工业人的自我觉醒与价值追求是智慧工厂的核心要义[J].智慧工厂,2015(11):1.
[25]古川裕.关于“要”类词的认知解释——论“要”由动词到连词的语法化途径[J].世界汉语教学,2006(1):18-28.
[26]朴珉娥,袁毓林.汉韩”白”类词的语义、语法和语用特征对比研究[J].外语教学与研究,2015(4):496-508.
[27]Naciscione A.Metaphor and the historical evolution of conceptual mapping[J].Metaphor and Symbol,2014,29(1):59-61.
[28]Lin Y T,Chang C H,Hou H T,et al.Exploring the effects of employing Google Docs in collaborative concept mapping on achievement,concept representation,and attitudes[J].Interactive Learning Environments,2016,7(24):1552-1573.
[29]Stoyanov S,Jablokow K,Rosas S R,et al.Concept mapping-An effective method for identifying diversity and congruity in cognitive style[J].Evaluation and Program Planning,2017(60):238-244.
[30]白华.利用标签-概念映射方法构建多元集成知识本体研究[J/OL].图书情报工作,2015,59(17):127-133.
[31]邓盼盼,常春.基于精确匹配的概念映射关系规则研究[J].图书情报工作,2013,57(16):25-29.
[32]陈辰.叙词表概念映射研究[J].图书馆论坛,2015,35(1):37-42.
[33]Gao W,Farahani M R,Aslam A.Distance learning techniques for ontology similarity measuring and ontology mapping[J].Cluster Computing-The Journal of Networks Software Tools and Applications,2017,20(2):959-968.
[34]Sicilia A,Nemirovski G,Nolle A.Map-On:A web-based editor for visual ontology mapping[J].Semantic Web,2017,8(6):969-980.
[35]赵晋巍,钱建军,真溱.本体映射系统研究综述[J].情报理论与实践,2010,33(5):120-123.
[36]潘有能,刘朝霞.本体映射技术在关联数据中的应用研究[J].情报科学,2015,33(1):54-56,62.
[37]黄福常,于娟.基于本体结构量化的本体概念映射方法研究[J].情报杂志,2015,34(11):145-149.
[38]刘启元,叶鹰.文献题录信息挖掘技术方法及其软件SATI的实现——以中外图书情报学为例[J].信息资源管理学报,2012(01):50-58.