典型的图像搜索引擎特征和评价   总被引：3，自引：0，他引：3  

汪社教 《情报科学》2003,21(4):423-424

本文首先介绍图像搜索引擎技术基础，并对图像搜索引擎进行分类；然后挑选网上较为典型的搜索引擎，分析它们的特点且给予扼要的评述。  相似文献   

网络检索工具的发展与应用   总被引：2，自引：0，他引：2  

蔡东宏 《情报科学》2004,22(12):1515-1518

阐述了网络检索工具的发展概况及各种网络检索工具的一般特点，以及如何有效利用这些网络检索工具获取网络信息。  相似文献   

搜索力经济研究     

李伟超  张新刚 《情报科学》2007,25(3):345-348

目前，由搜索引擎所引领的另类网络虚拟经济形态一“搜索力经济”正在迅速崛起。作为互联网新经济的核心价值，搜索力正引领着互联网的现在和未来。本文将对这一“热点区域”对“搜索力经济”的概念、出现原因及引发的变革等相关问题进行分析，帮助读者对互联网的新领域有更深刻的了解。  相似文献   

搜索引擎网页快照的实现与安全     

孙静  赵恒永 《中国科技信息》2007,(11):138-139,141

文章介绍了搜索引擎网页快照系统的实现以及在安全性能方面的研究。当前的多数搜索引擎网站提供的网页快照,能够使用户更加快速和方便地访问较早时期的网页,但它们并没有对其中的网页安全进行判断。文章中的网页快照系统在实现网页快照的同时,通过建立网页脚本语言学习解释器,运用机器学习技术、词法分析技术等对网页上可能存在的不安全代码进行判断和去除,从而保证提供给用户的是尽量安全的网页快照。  相似文献   

我国数字信息保存研究综述     

董光彩 《现代情报》2006,26(9):27-30

综观我国数字信息保存研究的发展历程，从概念、影响数字信息存取因素、数字信息保存的技术策略和管理策略等方面进行了综述。  相似文献   

Google Library项目对图书馆事业发展的启示   总被引：5，自引：0，他引：5  

任瑶 《情报理论与实践》2005,28(6):630-632

本文结合Google Library项目推出后所引发的广泛争议与图书馆业的发展现状进行综合分析,并对图书馆今后的发展进行深层次思考。  相似文献   

跨界搜索、知识整合与突破性创新     

王娟茹  杨苗苗  李正锋 《研究与发展管理》2020,(3):111-122

突破性创新以实现企业生产技术的根本性改变和市场模式的颠覆性更新为目标，并能有效提升组织的市场地位和盈利能力。尽管已有研究对突破性创新的驱动机制进行了有益探索，但并未明确解释作为突破性创新基础的异质性知识的来源问题。基于此，依据资源基础理论和领导特质理论，本文建立了跨界搜索对突破性创新的影响模型，探究了知识整合的中介作用以及管理者机会敏锐性的调节作用，并以先进制造企业为研究对象，采用AMOS 21.0和Smart PLS 3.0对调查所得的284份问卷数据进行实证分析。结果表明：前瞻性跨界搜索和追随性跨界搜索对知识整合均有显著的正向影响；知识整合对突破性创新有显著的正向影响；知识整合在前瞻性跨界搜索与突破性创新的关系中起部分中介作用，在追随性跨界搜索与突破性创新的关系中起完全中介作用；管理者机会敏锐性正向调节知识整合对突破性创新的影响。研究结论为企业的突破性创新活动提供理论支持和实践指导。  相似文献   

智能搜索引擎与数字图书馆个性化服务   总被引：13，自引：0，他引：13  

邹凯  汪全莉 《情报科学》2004,22(7):874-877

智能搜索引擎基于知识(概念)层面实行信息检索，以较强的自然语言理解和知识处理能力，表现出良好的个性化信息服务特色。因此，智能搜索引擎应用于数字图书馆个性化服务体系，不仅有效发挥前者数据挖掘、知识发现的功能，同时能较大地加深后者的主动性、智能性优势。  相似文献   

A study of results overlap and uniqueness among major Web search engines     

Amanda Spink  Bernard J. Jansen  Chris Blakely  Sherry Koshman 《Information processing & management》2006

The performance and capabilities of Web search engines is an important and significant area of research. Millions of people world wide use Web search engines very day. This paper reports the results of a major study examining the overlap among results retrieved by multiple Web search engines for a large set of more than 10,000 queries. Previous smaller studies have discussed a lack of overlap in results returned by Web search engines for the same queries. The goal of the current study was to conduct a large-scale study to measure the overlap of search results on the first result page (both non-sponsored and sponsored) across the four most popular Web search engines, at specific points in time using a large number of queries. The Web search engines included in the study were MSN Search, Google, Yahoo! and Ask Jeeves. Our study then compares these results with the first page results retrieved for the same queries by the metasearch engine Dogpile.com. Two sets of randomly selected user-entered queries, one set was 10,316 queries and the other 12,570 queries, from Infospace’s Dogpile.com search engine (the first set was from Dogpile, the second was from across the Infospace Network of search properties were submitted to the four single Web search engines). Findings show that the percent of total results unique to only one of the four Web search engines was 84.9%, shared by two of the three Web search engines was 11.4%, shared by three of the Web search engines was 2.6%, and shared by all four Web search engines was 1.1%. This small degree of overlap shows the significant difference in the way major Web search engines retrieve and rank results in response to given queries. Results point to the value of metasearch engines in Web retrieval to overcome the biases of individual search engines.  相似文献   

Improvement of building field association term dictionary using passage retrieval     

Uddin Md.  Elmarhomy  Elsayed  Masao  Kazuhiro  Jun-ichi 《Information processing & management》2007,43(6):1793

Field Association (FA) terms are a limited set of discriminating terms that can specify document fields. Document fields can be decided efficiently if there are many relevant FA terms in that documents. An earlier approach built FA terms dictionary using a WWW search engine, but there were irrelevant selected FA terms in that dictionary because that approach extracted FA terms from the whole documents. This paper proposes a new approach for extracting FA terms using passage (portions of a document text) technique rather than extracting them from the whole documents. This approach extracts FA terms more accurately than the earlier approach. The proposed approach is evaluated for 38,372 articles from the large tagged corpus. According to experimental results, it turns out that by using the new approach about 24% more relevant FA terms are appending to the earlier FA term dictionary and around 32% irrelevant FA terms are deleted. Moreover, precision and recall are achieved 98% and 94% respectively using the new approach.  相似文献