谷歌推出智利地震寻人工具

加拿大隐私事务专员珍尼弗·斯托达特2月17日发表声明,要求美国谷歌公司对其在加拿大推出的新社交网络服务Google Buzz存在个人隐私漏洞一事作出解释。     

新一代搜索引擎Google

本文对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.     

Google搜索引擎研究新进展

文章从Google搜索引擎的特色功能、搜索方法等方面阐述了Google搜索引擎研究和开发应用所取得的新进展.     

Google:图书馆网络服务新模式

以笔者亲历的咨询案例说明了Google的功能在图书馆服务中的强大作用,指出图书馆引入Google成为图书馆网络服务新模式.     

行业

RealNetworks开放中文官方网站；Google宣布结盟软件商Intuit；Google增功能可搜300年前旧报；微软将推出新的搜索引擎；日本欲开发下一代搜索引擎挑战Google霸权[编者按]     

新一代搜索引擎Coogle

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。     

Google族,图书馆的无情冲击?

Google类搜索引擎的迅速发展使图书馆面临边缘化威胁,以Google族为代表的搜索引擎用户势力大增给图书馆带来一系列冲击。面对挑战,图书馆人应以良好的心态、清醒的认识、有效的措施应对。     

Google 在中文信息检索中的应用

搜索引擎Google享有世界最佳搜索引擎之称，其中信息搜索服务也越来越受到中用户的欢迎和重视，本介绍Google在中信息检索中的一些运用技巧。     

从PageRank的技术优势看Google的软件文化理念

通过研究全球最大的搜索引擎Google的PageRank技术工作原理以及Google的功能特点，论述了Google获得成功的关键是以网民为市场主体的人本主义文化理念运作模式的观点，并通过分析Google面临的问题和危机，描述了搜索引擎技术市场的潜在走势。     

几种图像搜索引擎的比较

通过对几种图像搜索引擎的比较，得出Google图像搜索引擎的搜索能力最强的结论。     

个性化跨语言学术搜索技术研究

学术搜索引擎是一种行业化的搜索引擎,但因其缺乏个性化的服务,使得用户的学术文献检索效率低下,海量的数字学术资源得不到充分利用.本文使用Google翻译,研究基于机器翻译的中、英、俄、法和西班牙等五个语种跨语言学术检索.在跨语言学术搜索的基础上研究个性化检索技术,提出一种基于聚类的个性化信息检索方法:通过观察用户对搜索结果聚类的点击行为,生成并更新用户实时兴趣模型,采用余弦夹角公式计算用户实时兴趣模型与搜索返回结果的相似度,根据相似度大小,为用户提供个性化重排序的搜索返回结果.实验结果证明了提出方法的有效性.     

Google搜索引擎及其技术简介

搜索引擎已经成为人们网络：生活必不可少的工具，因此，国内外的各种搜索引擎纷纷出现。而Google搜索引擎以其雄厚的技术为支撑，凭借其强大的检索功能和高质量的检索服务，逐渐吸引和留住了世界各地的大量网民，成为了世界上最著名的搜索引擎之一。本文在介绍Google基本概况、检索特色及特色功能的基础上，介绍了其核心技术及工作机理，最后对其发展趋势作了分析。     

How Google Uses Metadata to Improve Search Results

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.     

直接满足中文用户科研文献需求的网络搜索工具——Google Scholar初探

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。     

Expert googling: best practices and advanced strategies for using google in health sciences libraries

Google is the search engine of choice for most Internet users. For a variety of reasons, librarians and other expert searchers do not always use Google to its full potential, even though it provides capabilities not possible in traditional bibliographic databases and other search engines. Applying expert searching principles and practices, such as the use of advanced search operators, information retrieval strategies, and search hedges to Google will allow health sciences librarians to find quality information on the Internet more efficiently and effectively.     

There’s a creepy guy on the other end at Google!: engaging middle school students in a drawing activity to elicit their mental models of Google

Although youth are increasingly going online to fulfill their needs for information, many youth struggle with information and digital literacy skills, such as the abilities to conduct a search and assess the credibility of online information. Ideally, these skills encompass an accurate and comprehensive understanding of the ways in which a system, such as a Web search engine, functions. In order to investigate youths’ conceptions of the Google search engine, a drawing activity was conducted with 26 HackHealth after-school program participants to elicit their mental models of Google. The findings revealed that many participants personified Google and emphasized anthropomorphic elements, computing equipment, and/or connections (such as cables, satellites and antennas) in their drawings. Far fewer participants focused their drawings on the actual Google interface or on computer code. Overall, their drawings suggest a limited understanding of Google and the ways in which it actually works. However, an understanding of youths’ conceptions of Google can enable educators to better tailor their digital literacy instruction efforts and can inform search engine developers and search engine interface designers in making the inner workings of the engine more transparent and their output more trustworthy to young users. With a better understanding of how Google works, young users will be better able to construct effective queries, assess search results, and ultimately find relevant and trustworthy information that will be of use to them.     

Google Scholar Beta检索性能的初步分析

利用多个医学提问，通过对Google Scholar Beta、PubMed、ISI Science Citation Index Expanded、CrossRef Search、Scirus等工具检索结果的对比，分析 Google Scholar Beta 测试版搜索引擎在学术信息检索中的性能表现，特别是检索的查全率、结果的相关性、文献被引用检索等方面的性能，指出其存在的不足，并对该搜索引擎对图书馆跨库查询方案的影响进行初步探讨。     

Expert Googling

Abstract

Google is the search engine of choice for most Internet users. For a variety of reasons, librarians and other expert searchers do not always use Google to its full potential, even though it provides capabilities not possible in traditional bibliographic databases and other search engines. Applying expert searching principles and practices, such as the use of advanced search operators, information retrieval strategies, and search hedges to Google will allow health sciences librarians to find quality information on the Internet more efficiently and effectively.     

Deconstructing Google Dataset Search

This essay examines the beta tool from Google, Google Dataset Search. The Google Dataset Search, announced in September 2018, is a search engine specific to finding research data published on the internet. The structure and methods of the search engine are examined, as well as the methods Google recommends to web developers to make it an effective tool across the World Wide Web. The column concludes with a discussion of the pros and cons of this tool in the research information landscape.     

数字图书馆的Google之道

Google正在改变用户查询信息的模式,并同数字图书馆展开竞争。Google与数字图书馆相比,虽在某些功能方面有优势,但数字图书馆仍然有很大的发展空间。图书馆员应学习Google的经验,使用其技术来改善自身服务,包括利用Google开展参考咨询,加强与用户的交流互动;向搜索引擎公开元数据,以提高其使用率和社会效益;出版商协作发展本地集成的信息服务;建立同Google的“竞争合作”关系。