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1.
本文基于Patentics数据库,通过检索,统计和分析了特斯拉汽车公司的发明专利申请情况,统计了特斯拉的主要专利技术领域以及全球布局情况,并重点分析了特斯拉公司的发明专利的引用和被引用情况,基于其引证和被引证关系挖掘出电动汽车领域竞争对手,并进一步通过竞争对手专利相互引证图确定电动汽车行业竞争格局。  相似文献   

2.
引文索引评述   总被引:1,自引:0,他引:1  
王冰 《情报科学》1999,17(2):200-201,216
引文索引是建立在文献引证关系之上的一种新型检索工具,本文在评述了引文索引结构原理的基础上,概述了国际上权威检索工具之一的《科学引文索引》的特点,简介了填补我国文献引文索引系统空白的《中国科学引文索引》的概况,指出了科学引文索引系统是统计、分析和评价科技论文的重要检索工具,是对科技论文进行科学定量分析所依赖的权威数据资源。  相似文献   

3.
通过利用文献计量方法,以Web of Science、CNKI、万方三大数据库为检索源,在情报学学术范畴内检索题目包含信息分析的相关文献,并将检索结果进行量化整理,依参考文献量、引证次数、二次引证次数等数量指标为衡量标准,确定核心文献,并通过题目内容分析法,分析归纳得出国内及国外情报学学术界关于信息分析问题的研究重点、方法手段的异同。  相似文献   

4.
郝屹  王戴尊  戴磊 《现代情报》2015,35(10):128
本文利用Innography专利检索与分析平台,对高功率半导体激光器专利进行检索,并对检索结果进行核心专利分析、可视化分析及引证分析等,得出了全球高功率半导体激光器专利技术的发展研究概况,供该领域研究人员借鉴和参考。  相似文献   

5.
侯长来 《现代情报》2005,25(3):162-163
文章介绍了一种借助《中国科技论文统计与引文分析数据库)(CSIPC)对《SCI》著者引证索引中同一姓名下不同著者进行辩识和地址追踪的方案,重点介绍了追踪过程并给出了实例。以实验数据为依据列举了该方案的检索效果评价指标。  相似文献   

6.
CNKI知识搜索检索技术及评价   总被引:1,自引:0,他引:1  
谢松  杨志永 《科教文汇》2009,(24):266-268
文章分析了布尔逻辑检索、大小写敏感检索、截词检索、临近检索等基本的检索技术在CNKI知识搜索的全文检索系统中的应用情况,并以实例分析了CNKI的引证分析、读者推荐文章、相似文献等扩展功能。  相似文献   

7.
何佳讯 《情报科学》1992,13(2):46-51
本文提出了一个以“引用的知识选择”为基础的引用行为新模型,它由4对对立的8项类型组成:(1)整体引用与单元引用;(2)独一引用与模糊引用;(3)源型引用与转录引用;(4)对非引文检索结果的引用和对引文检索结果的引用,并讨论评价性引证分析和引文检索的有效性。  相似文献   

8.
何佳讯 《情报科学》1991,12(6):21-30,38
本文研究了引证分析中的一项新的测度内容——引用深度。提出了评价引用深度的指标体系,研究了引用深度与引用类型、引用行为形式和引证分析测度指标之间的关系,讨论了影响引用深度的因素和引用深度对评价性引证分析、引文检索以及用户的影响,得出了一些有益的结论,并指出了需要进一步研究的内容。  相似文献   

9.
燕慧泉  俞志敏 《情报杂志》2004,23(9):100-101
通过对一次文献衰老机制的分析,探讨了不同阶段的引证构成和变化,同时对不同深度的文献引证变化进行了研究,从而可以借此进行跨语种检索技巧的使用和追溯临界点的判断。  相似文献   

10.
<正>Incopat的检索模式Incopat科技创新情报平台收录了120个国家、地区和组织的近1.39亿专利数据,能够提供简单检索、高级检索、批量检索、引证检索、法律检索、AI检索、语义检索、扩展检索和图形检索等多种检索模式。本文涉及的两个案例主要使用高级检索和语义检索,下面对这两种检索模式进行简要介绍。  相似文献   

11.
从科技查新看地方科技发展现状   总被引:8,自引:1,他引:7  
运用统计分析方法,对陕西省科学技术信息研究所科技查新中心2001-2007年完成的科技查新项目进行统计分析,探讨陕西省科技发展现状及科技活动中的一些特征,提出促进陕西省科技事业健康、快速发展的一些建议。  相似文献   

12.
以中国学术期刊全文数据库(CJFD)为数据来源,以《自然科学史研究》杂志1995—2010年的高被引作者为研究对象,通过构造他们之间的共被引矩阵,并利用多元统计分析与社会网络分析软件对标准化后的共引矩阵进行分析,描绘出了中国科学史界研究群体的分类图谱。  相似文献   

13.
Comparing rankings of search results on the Web   总被引:1,自引:0,他引:1  
The Web has become an information source for professional data gathering. Because of the vast amounts of information on almost all topics, one cannot systematically go over the whole set of results, and therefore must rely on the ordering of the results by the search engine. It is well known that search engines on the Web have low overlap in terms of coverage. In this study we measure how similar are the rankings of search engines on the overlapping results.We compare rankings of results for identical queries retrieved from several search engines. The method is based only on the set of URLs that appear in the answer sets of the engines being compared. For comparing the similarity of rankings of two search engines, the Spearman correlation coefficient is computed. When comparing more than two sets Kendall’s W is used. These are well-known measures and the statistical significance of the results can be computed. The methods are demonstrated on a set of 15 queries that were submitted to four large Web search engines. The findings indicate that the large public search engines on the Web employ considerably different ranking algorithms.  相似文献   

14.
邱凤鸣  陈惠兰 《现代情报》2009,29(1):171-173
通过对近年来东华大学图书馆开展的查新业务的统计分析,了解和掌握了目前高校图书馆查新工作的规律和存在的问题,从侧面反映学校科研工作及学科发展的一些现状。文章详细介绍了东华大学图书馆的科技查新工作管理经验,最后从提高查新服务能力和拓展查新服务业务角度为查新工作提出建议。  相似文献   

15.
With the increasing popularity and social influence of search engines in IR, various studies have raised concerns on the presence of bias in search engines and the social responsibilities of IR systems. As an essential component of search engine, ranking is a crucial mechanism in presenting the search results or recommending items in a fair fashion. In this article, we focus on the top-k diversity fairness ranking in terms of statistical parity fairness and disparate impact fairness. The former fairness definition provides a balanced overview of search results where the number of documents from different groups are equal; The latter enables a realistic overview where the proportion of documents from different groups reflect the overall proportion. Using 100 queries and top 100 results per query from Google as the data, we first demonstrate how topical diversity bias is present in the top web search results. Then, with our proposed entropy-based metrics for measuring the degree of bias, we reveal that the top search results are unbalanced and disproportionate to their overall diversity distribution. We explore several fairness ranking strategies to investigate the relationship between fairness, diversity, novelty and relevance. Our experimental results show that using a variant of fair ε-greedy strategy, we could bring more fairness and enhance diversity in search results without a cost of relevance. In fact, we can improve the relevance and diversity by introducing the diversity fairness. Additional experiments with TREC datasets containing 50 queries demonstrate the robustness of our proposed strategies and our findings on the impact of fairness. We present a series of correlation analysis on the amount of fairness and diversity, showing that statistical parity fairness highly correlates with diversity while disparate impact fairness does not. This provides clear and tangible implications for future works where one would want to balance fairness, diversity and relevance in search results.  相似文献   

16.
The purpose of this study is to provide automatic new topic identification of search engine query logs, and estimate the effect of statistical characteristics of search engine queries on new topic identification. By applying multiple linear regression and multi-factor ANOVA on a sample data log from the Excite search engine, we demonstrated that the statistical characteristics of Web search queries, such as time interval, search pattern and position of a query in a user session, are effective on shifting to a new topic. Multiple linear regression is also a successful tool for estimating topic shifts and continuations. The findings of this study provide statistical proof for the relationship between the non-semantic characteristics of Web search queries and the occurrence of topic shifts and continuations.  相似文献   

17.
通过采用计划行为理论建立大学生网络消费意愿影响因素的假设模型,并利用Spss17.0以及Amos17.02统计软件对调研数据进行统计分析及拟合处理。研究结果显示,在大学生这一网络消费群体中,网站设计易用性、安全隐私、货物配送服务质量、口碑等对网络消费总体满意度有显著正向影响,转移成本对网络消费总体满意度负面影响显著。在网络消费意愿影响因素方面,口碑和网络消费总体满意度对消费意愿都有显著正向影响,转移成本这一因素对消费行为意愿的影响没有得到充实的论据。  相似文献   

18.
Current Web-based search engines presume a category search for a specific group of users. This approach is appropriate for generalized information searches since it is based on statistically generated user profiles. However, in some applications, such as medicine and law, an individualized search for a specific user at a given point in time is desired. In addition, the use of specialized terminology in some fields necessitates guidance for the non-expert to be successful in locating the desired information. This paper presents a new decision support system enabled by the analytic hierarchy process and intelligent software agents that can be used by researchers and practitioners in technical fields to aid information retrieval and improve search results from a controlled vocabulary. An application from telemedicine is given to illustrate the potential improvements.  相似文献   

19.
叶凤云  苗向国 《现代情报》2015,35(11):83-87
随着移动互联网的快速普及,越来越多的人开始通过移动搜索获取信息,大学生作为移动搜索行为的主要群体,对大学生的移动信息搜索行为进行研究有重要的实践意义。论文首先结合相关调查报告获取用户网络搜索行为的统计数据,分析移动搜索用户行为的现状和特点;然后利用发放调查问卷的方式所获取的统计数据,分析大学生的移动搜索行为特征及影响因素;最后提出针对性的建议和对策,以提高大学生通过移动搜索获取信息的能力。  相似文献   

20.
Search engines are essential for finding information on the World Wide Web. We conducted a study to see how effective eight search engines are. Expert searchers sought information on the Web for users who had legitimate needs for information, and these users assessed the relevance of the information retrieved. We calculated traditional information retrieval measures of recall and precision at varying numbers of retrieved documents and used these as the bases for statistical comparisons of retrieval effectiveness among the eight search engines. We also calculated the likelihood that a document retrieved by one search engine was retrieved by other search engines as well.  相似文献   

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