国际人工智能领域计量与可视化研究——基于AAAI年会论文的分析
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摘要
人工智能是当代工程科技前沿研究中的学科领域之一,也是国家科技发展规划的重点领域和优先主题。以EI Compendex数据库收录的国际人工智能领域权威学术会议AAAI2002-2011年的会议论文为研究对象,运用科学计量学方法和可视化技术,绘制当代国际人工智能领域的知识图谱,对包括国别、机构和作者在内的研究力量分布以及热点、前沿和所涉学科在内的主题内容进行分析和总结。此外,通过对知识图谱的深度解读,发现科学计量及可视化方法在探析学科领域研究主题时,既需改进自身的方法工具,也应与内容分析及作者行文模式等研究相结合。
Artificial Intelligence is currently one of the frontier subject in the field of engineering and technology study,and also main area and priority topic in national program for science and technology development.Based on proceeding papers in AAAI conference on Artificial Intelligence from EI Compendex during the period 2002 to 2011,the methods of scientometrics and visualization technology are used to draw up scientific knowledge mapping of domains of international artificial intelligence currently.And then,the paper analysed and summarized the research power(including country,institution and author) and research theme referring to hot topics,research fronts and related classifications.In addition,based on the deep interpretation of the knowledge mapping,the paper revealed that the method of scientometrics and information visualization should be combined with content analysis method,behavioral patterns in writing scientific articles and other factors to explore disciplinary themes.
Artificial Intelligence is currently one of the frontier subject in the field of engineering and technology study,and also main area and priority topic in national program for science and technology development.Based on proceeding papers in AAAI conference on Artificial Intelligence from EI Compendex during the period 2002 to 2011,the methods of scientometrics and visualization technology are used to draw up scientific knowledge mapping of domains of international artificial intelligence currently.And then,the paper analysed and summarized the research power(including country,institution and author) and research theme referring to hot topics,research fronts and related classifications.In addition,based on the deep interpretation of the knowledge mapping,the paper revealed that the method of scientometrics and information visualization should be combined with content analysis method,behavioral patterns in writing scientific articles and other factors to explore disciplinary themes.
引文
[1]Zhao Yupeng,Hlu Jian,Lai Junfeng.The Investigation about the Research Front of Artificial Intelligence that based on the Mapping Knowledge Domain[C]//Proceedings of the38 th International Conference on Computers and Industrial Engineering.北京:电子工业出版社,2008:2688-2697.
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[26]岳洪江,刘思峰.管理科学期刊同被引网络结构分析[J].情报学报,2008,27(3):400-406.
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[28]王曰芬.文献计量法与内容分析法的综合研究(Ⅰ)——综合方法研究的可行性、思路与原则[J].情报学报,2009,28(5):745-752.
[2]Eom S B,Lee S M.Leading United-States universities and most in-fluential contributors in decision support systems research(1971-1989)——A citation analysis[J].Decision Support Systems,1993,9(3):237-244.
[3]Eom S B,Lee S M,Kim J K.The intellectual structure of decision-support systems(1971-1989)[J].Decision Support,1993,10(1):19-35.
[4]Eom S B.Ranking institutional contributions to decision-support systems research-A citation analysis[J].Decision Support,1994,25(1):35-42.
[5]Eom S B.Decision-support systems research-Reference disciplines and a cumulative tradition[J].OMEGA-International Journal of Management,1995,23(5):511-523.
[6]Eom S B.Mapping the intellectual structure of research in decision support systems through author cocitation analysis(1971-1993)[J].Decision Support,1996,16(4):315-338.
[7]Eom S B,Farris R S.The contributions of organizational science to the development of decision support systems research subspecialties[J].Journal of the American Society for Information Science,1996,47(12):941-952.
[8]Eom S B.Relationships between the decision support system sub-specialties and reference disciplines:An empirical investigation[J].European Journal of Operation,1998,104(1):31-45.
[9]Eom S B.The intellectual development and structure of decision support system(1991-1995)[J].OMEGA-International Journal of Management,1998,26(5):639-657.
[10]Eom S B.Decision support systems research:Current state and trends[J].Industrial Management&Data Systems,1999,99(5-6):213-220.
[11]Eom S B.The contributions of systems science to the development of the decision support system subspecialties:An empirical investi-gation[J].Systems Research and Behavioral,2000,17(2):117-134.
[12]Bartneck C.The end of the beginning:A reflection on the first five years of the HRI conferences[J].Scientometrics,2011,86(2):487-504.
[13]杨莹.国内外机器人研究领域的知识计量[D].大连:大连理工大学,2009.
[14]蒋蓓.人机交互学发展的科学计量研究[D].上海:复旦大学,2011.
[15]赵玉鹏.基于知识图谱的机器学习研究前沿探析[J].情报杂志,2012,31(4):28-31.
[16]祝清松.我国自然语言处理研究的文献计量分析[J].情报杂志,2009,28(4):32-34.
[17]程慧平,陈永超.国内知识检索研究进展[J].图书情报工作,2011,55(10):126-129.
[18]Alfonso I,Perdo L,Bielza C.Using Bayesian networks to discover relationships between bibliometric indices:A case study of comput-er science and artificial intelligence journals[J].Scientometrics,2011,89(2):523-551.
[19]贾积有.国外人工智能教育应用最新热点问题探讨[J].中国电化教育,2010,31(7):113-118.
[20]刘则渊,陈悦,侯海燕,等.科学知识图谱方法与应用[M].北京:人民出版社,2008:11.
[21]魏瑞斌.我国图书馆学情报学的科研合作现状研究:以CSSCI 1998-2004年数据为例[J].图书情报工作,2006,50(1):41-43.
[22]金碧辉,张望,周秋菊,等.中国国际科学合作中的“华人现象”[J].科学观察,2007,2(6):20-27.
[23]王万良.人工智能导论(第3版)[M].北京:高等教育出版社,2011:206-207.
[24]Chen Chaomei.CitespceⅡ:Detecting and visualizing emerging trends and transient patterns in science literature[J].Journal of the American Society for Information Science and Technology,2006,57(3):359-377.
[25]王立学,冷伏海.简论研究前沿及其文献计量识别方法[J].情报理论与实践,2010,33(10):54-58.
[26]岳洪江,刘思峰.管理科学期刊同被引网络结构分析[J].情报学报,2008,27(3):400-406.
[27]中华人民共和国国务院.国家中长期科学和技术发展规划纲要(2006-2020)[EB/OL].(2006-02-09).[2012-08-09].http://www.gov.cn/jrzg/2006-02/09/content_183787.htm.
[28]王曰芬.文献计量法与内容分析法的综合研究(Ⅰ)——综合方法研究的可行性、思路与原则[J].情报学报,2009,28(5):745-752.