文献类型：期刊文献

中文题名：Google Scholar的数据整合研究

英文题名：Research on Data Integration of Google Scholar

作者：洪道广[1]

机构：[1]华东理工大学图书馆,上海200237

年份：2010

卷号：30

期号：7

起止页码：39

中文期刊名：现代情报

外文期刊名：Journal of Modern Information

收录：CSTPCD;;国家哲学社会科学学术期刊数据库;CSSCI:【CSSCI_E2010_2011】；

语种：中文

中文关键词：Google;Scholar;数据整合;数据检索

外文关键词：Google Scholar; data integration; data retrieval

摘要：Google Scholar对各种学术资源数据库进行了有效而全面的集成,通过同一界面简单查询可以得到不同语种、各种来源的文献。本文通过实例对Google Scholar整合的数据进行研究,结果显示整合的中文数据主要来自维普与万方期刊,英文数据来源广泛。通过比较4个专利平台和几个常用全文数据库,Google Scholar对美国专利和全文数据库都有很好的覆盖率。本文还讨论了Google Scholar对于相同文献不同来源的数据处理。
Google Scholar gives an effective integration on academic resource databases.Different language and resource results with simple searching interface can be got.The article researched on data integration of Google Scholar by retrieval example.Google Scholar is mainly from VIP and Wanfang periodical databases in Chinese data and widely from various databases in English data. Comparing with four patent platforms and some usual full-text Databases,Google Scholar provided good coverage to American patent and these full-text Databases.It was also discussed that the same article with deferent sources was treated in Google Scholar.