从使用者的角度谈词典的检索便捷性

从词典学本身理论出发评论词典的文章很多,真正从词典使用者的地位考虑问题的相对较少。本文主要是从词典使用者的角度入手,从词典检索的便捷性切入,通过对常用的五部英语词典的对比,找出词典在检索方面存在的四个不足:页面过窄,词目混列,义项颠倒和色彩单一,并针对这些不足给出了几点可供今后词典编纂参考的可行性尝试。     

粉丝文化对社交平台热搜话题的溢散效果研究——以新浪微博中鹿晗恋情事件为例

在社交平台中粉丝不再局限于被动地接收信息,而是开始积极地参与议题,话题的设定。在大众媒介的滋养中诞生的粉丝文化,以其强大的移情心理对社交平台的话题产生溢散效果。而这必然会导致媒体把关权力和话语权开始下降,最终引发谣言的滋生、有效议题流失等问题的出现。     

科技查新作用的延伸与扩展

科技查新在科研立项、成果鉴定、项目验收等方面起着至关重要的作用。然而,科技查新工作仍有巨大的发展潜力。本文在分析查新作用的基础上,论述了科技查新在定题跟踪服务、提供个性化信息服务等方面的伸延;以及在技术创新、竞争性情报服务、信息交流、成果转让等方面的扩展。     

本体应用的开发研究

由于信息资源缺少统一的语义描述,直接基于关键词的传统信息搜集方式使得用户难以高效地获取所需的信息资源,所以这种信息搜集技术已经不能满足用户在语义层次上的需求.知识本体(the ontology)是共享概念模型的明确形式化规范说明,能够以一种明确的、形式化的方式来表示领域知识,提高异构系统之间的互操作性,促进知识共享,由于本体具有良好的概念层次结构和对逻辑推理的支持,所以两者的结合是一个研究热点.本文通过对信息搜集的现状及其所面对的挑战的介绍,结合语义网中本体的具体特点,以计算机课程资源为应用的切入点,较详细地阐述了如何利用本体方法实现知识的组织,并且对组织后的知识结构进行有效的访问.     

基于JXTA的P2P网络搜索机制研究

介绍了P2P网络的特点,分析了JXTA构架的特点和协议栈的组成,探索了基于JXTA的P2P网络搜索机制,为搭建可扩展的搜索机制的开发平台奠定了基础。     

搜索力经济研究

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。     

计算机主题搜索引擎研究

Web信息的急剧增长使搜索引擎专用化成为发展趋势.在此重点论述了主题搜索引擎的信息采集策略,并给出了一种计算机主题搜索引擎设计方案.     

Dictionary-based text categorization of chemical web pages

A new dictionary-based text categorization approach is proposed to classify the chemical web pages efficiently. Using a chemistry dictionary, the approach can extract chemistry-related information more exactly from web pages. After automatic segmentation on the documents to find dictionary terms for document expansion, the approach adopts latent semantic indexing (LSI) to produce the final document vectors, and the relevant categories are finally assigned to the test document by using the k-NN text categorization algorithm. The effects of the characteristics of chemistry dictionary and test collection on the categorization efficiency are discussed in this paper, and a new voting method is also introduced to improve the categorization performance further based on the collection characteristics. The experimental results show that the proposed approach has the superior performance to the traditional categorization method and is applicable to the classification of chemical web pages.     

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

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.     

科技查新需求分析及其增值服务探讨

以东华大学2001年从事科技查新以来受理的科技查新为样本进行了需求分析,针对目前科技查新特征提出了以科技查新档案为切入点开展个性化增值服务,如竞争情报、专题情报、研究方向及趋势分析并与相关企业建立联系,逐渐使被动的科技查新服务转变为主动,进而与国际信息咨询服务业接轨。