互联网文献检索与挖掘

指出有形图书馆存在馆际差别、地域差别和进入障碍的局限，探讨了通过互联网检索和挖掘学术文献的可能性，讨论了互联网与图书馆文献检索的区别。本文的观点是：互联网带来文献检索的革命，提供了查找文献的机会；互联网上环境更为不确定，因此不仅需要检索，还要通过检索的内容去挖掘；互联网文献检索需要解决筛选检索结果、在检索成本与效益之间取得平衡的问题；在互联网检索与挖掘文献的过程，也是如何利用Internet的资源进行学习并深化学习的过程。     

Artistic and musical applications of Internet search technologies: prospects and a case study

This article explores the idea of Internet search as a technology to underpin artistic creation. Concepts of interactivity in art and music are explored, and then an overview of different types of Internet-based art is presented. A number of different ways in which Internet search have the potential to underpin artistic and musical activity are then discussed, with ideas such as the idea of a collective readymade and aesthetics of mass and unexpected connections are used to give this discussion a theoretical basis. Finally, a case study is given, in which the author discusses one of his own multimedia artworks that makes substantial use of Internet search.     

基于搜索引擎的信息查询技术研究

随着网络的快速发展,搜索引擎日益成为处理信息的主流工具。Internet是世界上资料最多、规模最大的信息资料库。在WWW上进行信息查找有三种方法,即基于超文本的信息查询、基于目录的信息查询、基于搜索引擎的信息查询,网络信息检索核心工具是搜索引擎。本文从搜索引擎概述、查询技术方法及展望三方面进行阐述。     

基于ASP．NET搜索引擎模型的实现

随着因特网技术的飞速发展,搜索引擎逐渐成为因特网重要的导航工具之一,而人们日常使用的搜索引擎代码并不开源,不利于研究学习。本文建立一个开源搜索引擎模型,并在ASP．NET中实现,为后续研究个性化搜索应用提供一个原型基础。     

基于Scrapy的房屋租赁信息搜索系统设计与实现

在如今互联网技术蓬勃房展及高房价的背景下，越来越多的人通过互联网寻找合适的租赁房源。目前互联网上房屋租赁网站众多，租房者在每家网站上均需要单独注册登录，且查询搜索过程繁琐，用户体验不佳。该文基于scrapy开源爬虫框架设计并实现了一个房屋租赁信息搜索系统，该系统从多个房屋租赁网站采集房源信息，进行数据格式转换后，向用户提供统一且多样化的房源搜索及展示功能。     

Internet信息检查的关键技术研究

为了快速准确地辅助核查人员审查Internet上的信息内容。研究开发了Internet信息检查搜索器．详细介绍了系统的功能组成及软件体系结构，提出了系统实现中的一些关键技术的实现方法和中标检查算法（KWHC）。     

网际搜索技术的Java实现

将Java技术与递归算法有机地结合起来，用于建立网际全文本搜索系统，有效地提高了网际检索的速度和效率。并且，利用SQL Server作为 数据库引擎，可以有效地管理和维护后台数据。     

A statistical method for estimating the usefulness of text databases

Searching desired data on the Internet is one of the most common ways the Internet is used. No single search engine is capable of searching all data on the Internet. The approach that provides an interface for invoking multiple search engines for each user query has the potential to satisfy more users. When the number of search engines under the interface is large, invoking all search engines for each query is often not cost effective because it creates unnecessary network traffic by sending the query to a large number of useless search engines and searching these useless search engines wastes local resources. The problem can be overcome if the usefulness of every search engine with respect to each query can be predicted. We present a statistical method to estimate the usefulness of a search engine for any given query. For a given query, the usefulness of a search engine in this paper is defined to be a combination of the number of documents in the search engine that are sufficiently similar to the query and the average similarity of these documents. Experimental results indicate that our estimation method is much more accurate than existing methods.     

Retracted: An Empirical Study of an Internet Marketing Strategy for Search Engine Optimization

Over the past few years, more and more Internet visitors are reaching websites through search engines rather than through direct links from another web page. Search engines have come to occupy a prominent position in the online world and are being used to find all kinds of information including things, events, people, and places. The search engine is also coming to play a greater role as a critical link between firms that use the Internet to build their image and find their target customers. How to achieve a high ranking in such search results given certain search words or phrases has become an issue of much interest in Internet marketing. The purpose of the current study is to develop a search engine optimization (SEO) mechanism that can be used by an enterprise to improve the ranking of its website in the search engine results. Social networking sites are included in our exploration of Internet marketing strategy. The proposed mechanism is then applied in the operations of an online ebook store. The website rankings obtained from two well‐known online search engines (Google and Yahoo) are evaluated in efforts to explore a better strategy to ensure higher rankings. The results reveal that a well‐designed SEO strategy, with the incorporation of social networking, can effectively enhance the website's visibility and exposure. Such a strategy will eventually contribute to overall site traffic and improve interaction with customers. © 2012 Wiley Periodicals, Inc.     

校园网信息资源搜索引擎的研究与实现

校园网已经成为高校信息资源共享和管理的重要平台。网络构建者和网络构建目的不同使得校园网与互联网之间存在着较大差异,这些差异导致校园网搜索引擎的实现需要引进新的技术和方法。通过统计分析,总结出校园网信息资源的特点,并基于这些特点提出了多维度量排序算法等技术,以提高搜索引擎查询准确度。实际构建的校因网搜索引擎系统表现出比传统搜索引擎更优的搜索性能。     

一种Web信息的启发式检索方法

Internet是一个开放的全球分布式网络 ,资源分布在世界上不同的地方 ,并且网上资源没有统一的管理和结构 ,导致了信息搜索的困难 .同时 ,Internet是一个有巨大价值的信息源 .因此 ,研究一种快速、高效的 Web信息检索方法是很有实用意义的 .本文提出了一种用相关度及用户兴趣作为评价函数在 Internet上进行启发式搜索及在此基础上利用机器学习有效的实现搜索知识重用的方法     

网上信息过滤代理的研究与实现

随着网上信息的急剧膨胀，提高信息搜索的精度，实现个性化信息服务，方便用户的信息查询，成为网上信息搜索的一个主要问题。文章提出了一种基于C／S结构的网上信息过滤代理，并利用Java语言予以实现，收到了较好效果。     

Exploring the logic of mobile search

After more than a decade of development work and hopes, the usage of mobile Internet has finally taken off. Now, we are witnessing the first signs of evidence of what might become the explosion of mobile content and applications that will be shaping the (mobile) Internet of the future. Similar to the wired Internet, search will become very relevant for the usage of mobile Internet. Current research on mobile search has applied a limited set of methodologies and has also generated a narrow outcome of meaningful results. This article covers new ground, exploring the use and visions of mobile search with a users' interview-based qualitative study. Its main conclusion builds upon the hypothesis that mobile search is sensitive to a mobile logic different than today's one. First, (advanced) users ask for accessing with their mobile devices the entire Internet, rather than subsections of it. Second, success is based on new added-value applications that exploit unique mobile functionalities. The authors interpret that such mobile logic involves fundamentally the use of personalised and context-based services.     

TSOIA: An efficient node selection algorithm facing the uncertain process for Internet of Things

Perception nodes in Internet of Things are vulnerable to the external environment and the characteristics of them are stochastic and dynamic. In this paper a new optimization algorithm for Internet of Things to support applications which do not need to discrete the solution space has been proposed. The proposed algorithm which is called TSOIA divides perception nodes into three groups to search the global optimal solution. TSOIA algorithm adopts random search, local search and orientation search to adjust the group size and the step length adaptively. In order to show the performance of the TSOIA algorithm, computer simulations have been conducted and the results obtained are compared with that of the two existing search algorithms. The results of comparison show that the proposed algorithm outperforms other search algorithms in terms of search ability, energy consumption and network delay.     

多媒体互联网信息搜索技术探析

近几十年来,互联网技术的飞速发展加快了信息流通的速度,现代社会已经进入到信息时代。能够利用互联网技术进行信息搜索,已经成为现代人必备的基本素质和能力。手机、平板电脑、互动电视等多媒体技术的发展,使得多媒体互联网搜索技术在社会各行各业中广泛应用,极大地改变了社会的信息流通状况。目前人们越来越多地利用互联网信息资源来满足自身信息的需求,因此,互联网信息检索日益发展成为社会的主流。主要介绍互联网信息搜索引擎的共组原理以及多媒体互联网的信息搜索技术,为相关研究人员提供参考。     

微观区域网络搜索热词的捕获与分析

为解决微观区域网络舆情动态数据的收集问题,提出了一种微观区域网络搜索热词的捕获方法,通过在该区域的网关上部署分光器,将分流出来的网络数据包按照相关协议重组,还原出会话内容,从而提取出搜索词.数据分析结果表明,与宏观区域的网络搜索热词和网络媒体热词相比,微观区域的网络搜索热词在内容上具有地域特色,在时间上具有“热快冷慢”的变化特点.     

一种基于本体的垂直搜索引擎系统模型

由于互联网上异构数据的爆炸性增长,目前依靠关键词技术的垂直搜索引擎遇到发展的瓶颈。本文引入本体论及相关技术,构建基于本体的垂直搜索引擎系统模型。模型中对抓取的异构信息进行本体化描述,在此基础上进行概念相似度计算,实现语义相关的本体查询,大大改善了目前垂直搜索引擎的查全率与查准率。     

The Internet and Tobacco Cessation: The Roles of Internet Self-Efficacy and Search Task on the Information-Seeking Process

This study explores the effects of Internet self-efficacy and search task specificity on the self-efficacy outcome and task perseverance of finding online health-related sites that contain attributes of website accountability, as established by the American Medical Association (AMA). In a mixed 2 (self-efficacy) x 2 (search task specificity) repeated-measures experimental design, participants conducted two search tasks (general and specific) that varied in the amount of task difficulty. When search task specificity was taken into account, there was an Internet self-efficacy and task specificity interaction according to which high Internet self-efficacy participants locate sites higher in website accountability in the general search task (the more difficult search task) than their low self-efficacy counterparts. There was no significant difference in website accountability for the specific search task (the less difficult task). High Internet self-efficacy participants also demonstrated more task perseverance than their low Internet self-efficacy counterparts.     

Who are interested in online science simulations? Tracking a trend of digital divide in Internet use

Although the Internet has become a major source for disseminating educational resources for science, technology, engineering, and mathematics (STEM), little is known about the extent to which these resources are being used, their relationship to academic performance, and the type of users accessing these resources online. This study used two innovative tools, Google Trends and Web analytics, to explore interest in and usage of the PhET website, one of the most well-known online science simulation resources. This study found that search interest in the PhET science simulations has been growing continuously since 2005. However, search interest in PhET was positively correlated with academic performance and income, and negatively correlated with the achievement gap between high- and low-performing students. Moreover, Internet users in states with more White students were more interested in the PhET science simulations. Yet Internet users in states with more Black students were less interested in these science simulations. These findings suggest that the way online STEM resources are being used is likely to widen, rather than narrow, the achievement gap. This is the first study to utilize Internet search trend data and Web analytics tools for monitoring Internet use for educational purposes.