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1.
Scirus还是Google Scholar?——两种专业搜索引擎对比分析   总被引:1,自引:0,他引:1  
综合性搜索引擎很难满足用户的专业搜索要求,而像Scirus和Google Scholar这样的专业科学搜索引擎弥补了其检索专业信息的很多缺陷.本文主要对两种搜索引擎的收录范围、检索功能、查询结果及其不足等方面进行对比分析.  相似文献   

2.
Google Scholar即Google学术搜索,是建立在Google搜索引擎基础上,直接面向科研需要的学术资源的网络检索工具。其搜索内容涉及诸多学科,并经业内专家评审,具有相当的权威性。该搜索引擎具有检索操作便捷化,选题标准学术化、引用搜索智能化、瞬间运行高速化等特点。Google Scholar及其中文版的出现,对于推动我国的科技进步和学术研究,具有积极意义。参考文献31。  相似文献   

3.
结合大量实例介绍了Google Scholar(谷歌学术)、SCIRUS这两个学术搜索引擎的特色及实用的检索技巧。  相似文献   

4.
目前我国"211"高校图书馆比较注重对Google Scholar搜索引擎的应用,有58所高校图书馆以各种形式提供了Google Scholar的相关链接,但在实际应用中还存在不足,应加大宣传力度,结合Google Scholar搜索引擎的特点,为用户提供针对性的服务。  相似文献   

5.
Google Scholar对MEDLINE数据库的检索性能测评   总被引:5,自引:0,他引:5  
文章以Google Scholar检索MEDLINE数据的检索结果和PubMed的检索结果进行对比分析,以帮助用户正确认识使用Google Scholar.  相似文献   

6.
文章以中国科学院机构知识库CAS OpenIR为例,采用基于学术搜索引擎Google Scholar优化的策略和方法,如针对Google Scholar收录原则、Google Scholar元数据体系、sitemaps、Robots协议等策略和方法进行分析和实践,通过提升机构知识库在Google Scholar中的收录比率,进而增强机构知识库中内容被发现引用的机率,以扩大IR利用影响力。  相似文献   

7.
近期.中国国家图书馆对外开放了针对馆藏的检索.读者通过Google Scholar(学术资源搜索)就可以检索到国家图书馆的书目数据,国家图书馆由此成为中国第一个加入Google Scholar的LibraryLink(图书馆链接)的图书馆,实现了国家图书馆数字资源门户与Google Scholar的链接。  相似文献   

8.
综合性学术搜索引擎研究   总被引:8,自引:1,他引:8  
选择了四种当前国外典型的可免费使用的综合性学术搜索引擎Google Scholar、Scir-us、BASE、Athenus进行了研究,分析了各自的特色,对比了它们的资源覆盖范围、检索功能和检索效果,提出了当前这类学术搜索引擎存在的主要问题:资源的学术质量问题、检索结果的归并与去重问题、相关性排序问题。在此基础上,探讨了其对图书情报机构、用户和资源供应商的有利和不利的影响。  相似文献   

9.
新一代搜索引擎Coogle   总被引:1,自引:0,他引:1  
本文Google搜索引擎的检索功能进行了评价,并对其查询结果如何阅览以图表的方式进行了介绍,对Yahoo、Google等搜索引擎的搜索方法进行了概述,同时展望了下一代搜索引擎。  相似文献   

10.
Google Scholar与PubMed搜索比较   总被引:2,自引:0,他引:2  
Google Scholar是综合性的搜索引擎,PubMed是专业性的搜索数据库,两个系统的共同点是都能搜索学术文章,但由于两者拥有不相同的搜索数据及搜索方式的极不相同,返回的结果往往不同。通过对Google Scholar和PubMed做各种不同的搜索试验,对搜索结果进行比较和对比,得出两个系统之间的不同之处,发现造成这些不同的原因,以更清晰地了解Google Scholar和PubMed各自的搜索能力。  相似文献   

11.
Google Scholar is a free service that provides a simple way to broadly search for scholarly works and to connect patrons with the resources libraries provide. The researchers in this study analyzed Google Scholar usage data from 2006 for three library tools at San Francisco State University: SFX link resolver, Web Access Management proxy server, and ILLiad interlibrary loan server. Overall, the data suggested that Google Scholar had become a very useful resource in the library and was a significant addition to the library's collection of research databases. SFX data revealed requests from Google Scholar grew ten-fold from 2006 to 2011, and that Google Scholar became the top-ranked SFX source for requests in 2011. Library patrons favored Google Scholar over San Francisco State University's federated search tool, MetaLib, and it has become an important source for interlibrary loan requests. Analysis of San Francisco State University usage data will assist other libraries in their decisions about the implementation of Google Scholar.  相似文献   

12.
Google Scholar在科技论文学术查新中的作用   总被引:4,自引:0,他引:4  
胡玲 《编辑学报》2008,20(4):359-360
Google Scholar是建立在Google搜索引擎上直接面向科研需要的学术资源的网络搜索工具,为广大学术查新工作者提供了极其方便的条件.阐述Google Scholar在科技论文学术查新中的作用,并分析其不足之处,提出了弥补方法.  相似文献   

13.
ABSTRACT

In order to understand better and explain the practices of Google Scholar, this essay takes a rhetorical and holistic look at the search technology, language, and sociopolitical implications of the Google Scholar interface as well as the connection between Google Scholar and the actions of the Google Corporation. The relationship between Google Scholar and the academic library is also explored. In addition, the essay offers ways to encourage students to undertake this kind of critique in the information literacy classroom.  相似文献   

14.
ABSTRACT

Google Scholar has multiple uses as a reference tool of last resort, including citation completion, an alternative when catalogs are down, and interdisciplinary metasearching and database suggestion. During the reference desk transaction, users can be taught effective Google Scholar search techniques such as advanced search functionality and the nuances of results' groupings. In addition, reference desk interactions with Google Scholar give insight for instructional workshops.  相似文献   

15.
The literature shows that students are more likely to begin their search via Google, as it is perceived to be easier and more accessible than other databases or publisher platforms. The invisible web, specifically publisher platforms, is sometimes too difficult for students to access; there are also suggestions that Google Scholar in particular may outperform other paid-for databases. The ease of access and the somewhat misguided notion that Google Scholar has more reliable information than that provided by libraries makes search engines all the more attractive. This culture of searching using a single search box is reflected in the increase in the number of libraries opting for single resource discovery systems such as Summon or Primo, which use a single search covering all the library holdings. The findings suggest that whilst Google Scholar can perform well in some circumstances, it performed only moderately well when compared with LISTA and Summon – the single resource discovery system tested. It was the least successful resource in terms of precision when compared with LISTA, Summon, Emerald and Sage. However, the simplicity of search engines begs the question: will databases and publisher platforms become obsolete? The study concludes that subject specific databases are more effective than search engines, but the complexity of accessing the invisible web is hindering their popularity.  相似文献   

16.

Objective

Google Scholar is often used to search for medical literature. Numbers of results reported by Google Scholar outperform the numbers reported by traditional databases. How reliable are these numbers? Why are often not all available 1,000 references shown?

Methods

For several complex search strategies used in systematic review projects, the number of citations and the total number of versions were calculated. Several search strategies were followed over a two-year period, registering fluctuations in reported search results.

Results

Changes in numbers of reported search results varied enormously between search strategies and dates. Theories for calculations of the reported and shown number of hits were not proved.

Conclusions

The number of hits reported in Google Scholar is an unreliable measure. Therefore, its repeatability is problematic, at least when equal results are needed.  相似文献   

17.
Google Scholar的利用与评价   总被引:5,自引:0,他引:5  
Google Scho1ar是一项具有开创性的互联网学术文献搜索服务。介绍了其概况、使用方法及用途,并对其进行了简要的评价。强调中国学者应早日了解并充分利用这一重要工具,为学术工作及研究服务。  相似文献   

18.
This paper studies the potential of using the Google Scholar search engine for estimating the publication activities of universities and considers a procedure for such estimation with the help of queries for the English names of universities. The publication structures for 2008 have been built for ten selected universities of the world, including MSU. The publication activities of the universities under consideration in 2007, has been compared based on the citation database of the US Institute for Scientific Information (Web of Knowledge) and Google Scholar search engine (GS-publications).  相似文献   

19.
This article critically examines four Google search products (Google Advanced Search, Google News Advanced Search, Google Books Advanced Search, and Google Advanced Scholar Search) and shows how each uses metadata to enhance or improve search results. In addition, the article shows how metadata can increase search precision and recall in information discovery systems. From a library perspective, this article analyzes some of the metadata-enabled features of Google's advanced search pages and compares these features to those found in a typical online library catalog. From a serials perspective, Google News Advanced Search demonstrates how Google indexes news websites, sites that are essentially continuing resources. As Google incorporates more and more metadata functionality into its advanced search pages, they increasingly begin to function more like online library catalogs and less like search pages found in a traditional Internet search engine. The simple search box has many limitations, and like libraries, Google is increasingly creating and offering metadata-enabled search features that improve search precision and recall in its products.  相似文献   

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