百度学术的数据整合——基于学术数据库覆盖率的案例研究
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  • 英文篇名:Data Integration of Baidu Academic Search System——Case Study Based on Academic Database Coverage
  • 作者:洪道广 ; 缪灵敏
  • 英文作者:Hong Daoguang;Miao Lingmin;Library,East China University of Science and Technology;
  • 关键词:百度学术 ; 数据整合 ; 文献检索 ; 案例研究
  • 英文关键词:Baidu academic system;;data Integration;;literature retrieval;;case study
  • 中文刊名:XDQB
  • 英文刊名:Journal of Modern Information
  • 机构:华东理工大学图书馆;
  • 出版日期:2018-03-15
  • 出版单位:现代情报
  • 年:2018
  • 期:v.38;No.321
  • 语种:中文;
  • 页:XDQB201803020
  • 页数:5
  • CN:03
  • ISSN:22-1182/G3
  • 分类号:135-139
摘要
通过案例比较百度学术平台与来源数据库的检索结果,研究百度学术的数据整合,结果显示百度学术对中国知网、万方数据、维普期刊的2010-2016年中文期刊覆盖率大于96%,学位论文覆盖率大于90%;对比2000-2016的英文期刊数据百度学术对SCI&SSCI、EI数据库覆盖率大于94%,对Elsevier、Springer、Wiley、ACM、Emerald全文系统数据库覆盖率大于95%。但百度学术收集的专利、外文学位论文等数据不全面,对文献的分类准确性还需进一步提高。
        By comparing the results of Baidu academic platform and source database with a retrieval case,this paper studied the data integration of Baidu academic System.Chinese journal papers coverage was greater than 96%,dissertations were greater than 90% to CNKI,Wanfang or VIP system from 2010 to 2016.The English journal papers coverage was greater than 94% to SCI&SSCI,EI system,more than 95% to Elsevier,Springer,Wiley,ACM,Emerald fulltext systems from 2000 to 2016.But collection of patents,foreign dissertations and other data was not comprehensive,the accuracy of the literature classification needed to be further improved in Baidu academic.
引文
[1]谢奇,关晶,杨错.后Google Scholar时代新的学术利器——百度学术搜索[J].农业图书情报学刊,2015,27(6):110-114.
    [2]张英健.“百度学术搜索”在期刊编辑中的应用[J].编辑学报,2015,27(6):536-539.
    [3]覃燕梅.百度学术搜索与超星发现系统比较分析及评价[J].现代情报,2016,36(3):48–52,60.
    [4]赵功群,王恒.国内三大中文发现系统比较分析及评价[J].图书馆研究,2016,46(6):72-77.
    [5]William H.Walters.Google Scholar Coverage of a Multidisciplinary Field[J].Information Processing&Management,2007,43(4):1121-1132.
    [6]John J.Meier,Thomas W.Conkling.Google Scholar’s Coverage of the Engineering Literature:An Empirical Study[J].The Journal of Academic Librarianship,2008,34(3):196-201.
    [7]洪道广.Google Scholar的数据整合研究[J].现代情报,2010,30(7):39-41.
    [8]Susanne Mikki.Comparing Google Scholar and ISI Web of Science for Earth Sciences[J].Scientometrics,2010,82(2):321-331.
    [9]Calis西文数据库导航[EB/OL].http://project.calis.edu.cn/calisnew/calis_index.asp?fid=6&class=6.