RSS技术在图书馆的实际应用

RSS技术作为WEB2.0的一项核心技术,对于图书馆信息服务具有革命性的意义。本文主要介绍了RSS的含义,分析了RSS的特点,探讨了RSS在图书馆建设和服务中的应用.     

RSS技术与图书馆的个性化信息推送服务

本文探讨了RSS技术的优点和使用,详细分析了基于RSS的图书馆个性化信息推送服务的工作原理,最后从RSS仃阅和RSS服务机制两个方面重点阐述了图书馆个性化信息推送服务的模式。     

RSS技术及其发展探讨

互联网的发展使得网络成为人们重要的信息来源,但传统的浏览方式存在一定不足。一种新的浏览技术RSS在近年来迅速发展,越来越多的Web站点为用户提供基于RSS的浏览方式。文中对RSS技术的各个方面做一个综述,分析了RSS的由来及发展状况,给出了RSS不同版本之间的对比;介绍了RSS技术的工作原理及其与传统的浏览方式的区别。对RSS的优点及应用领域作一个探讨,简单讨论了RSS的一些不足。作为一种新的网络浏览方式,RSS存在优点的同时存在一定的不足,但其将来必定会越来越完善。     

RSS技术及其发展探讨

互联网的发展使得网络成为人们重要的信息来源，但传统的浏览方式存在一定不足。一种新的浏览技术RSS在近年来迅速发展，越来越多的Web站点为用户提供基于RSS的浏览方式。文中对RSS技术的各个方面做一个综述，分析了RSS的由来及发展状况，给出了RSS不同版本之间的对比；介绍了RSS技术的工作原理及其与传统的浏览方式的区别。对RSS的优点及应用领域作一个探讨，简单讨论了RSS的一些不足。作为一种新的网络浏览方式，RSS存在优点的同时存在一定的不足，但其将来必定会越来越完善。     

基于RSS信息服务联盟的内容聚合技术研究

为加快我国信息服务业发展,有必要将信息服务业的各种资源进行融合,组建信息服务联盟.通过对网络环境下的信息服务模式和特性研究,提出了建立以协同为主导思想的信息服务联盟体系.对信息服务联盟资源聚合需求的分析,提出了一种基于RSS技术的信息服务联盟内容聚合服务方式.讨论了信息服务聚合原理及利用RSS技术聚合的优势,并初步探讨了在信息服务联盟中RSS资源聚合的应用问题,提出了一种在信息服务联盟中的基于RSS技术的信息聚合构架方案.该方案有效地解决了信息资源聚合的问题,提高了信息资源个性化价值,实现了信息资源的优化配置.     

RSS技术在图书馆中的应用

RSS订阅是web2.0时代的特征之一,本文介绍了RSS的含义及特点,论述了RSS的实现方法,并通过在自身图书馆门户网站上实现开展RSS订阅服务的实践来阐明RSS的应用。     

基于RSS技术的社区信息服务系统设计

论述基于RSS方式的信息推送技术在社区服务中的应用,结合社区实际服务提出一种基于RSS的信息服务系统,并以实例对RSS的实现方式进行设计和研究,这对社区信息服务工作有一定的理论价值和实用意义.     

RSS在高校教学中的应用探索

本文从分析RSS的功能特点入手，论述了RSS的聚合和更新发布功能在教学中的价值体现，从四个方面探讨了RSS这一新型的网络内容的聚合工具在高校教学活动中的创新应用，从而充分发挥网络教学交流平台的作用以优化教学效果。     

利用RSS整合校园Web信息和资源

首先介绍了RSS对于Web的作用。其次,介绍RSS规范和RSS文档格式。最后,对RSS作一些深入的研究,探讨了如何利用RSS实现校因Web信息资源的整合。     

利用RSS推送的主动服务解决藏书呆滞的研究

将通过系统提取的读者兴趣及需求信息与不断更新的RSS资源库进行比对,筛选出最能满足用户要求的RSS信息,并通过RSS主动推送技术,将资源及时发送给读者,是提高馆藏图书利用率,减少图书呆滞量的一种有效途径。     

RSS:打造教育资源辛迪加

RSS新技术在教育领域的应用越来越广泛,将其应用在教育资源库的建设之中,就可以很方便的实现教育资源的共享和聚合。基于RSS的技术基础,结合ASP技术就可以实现教育资源的提供、获取以及定制服务,从而打造出适合用户的教育资源联盟。     

基于随机性统计特征的隐密分析研究

隐密分析技术作为检验隐密术性能和挫败非法信息传播的重要手段,其研究日益受到人们的关注。通过对主要隐密分析方法的研究与比较,指出以随机性统计特征为基础的统计攻击是目前的主流,称为RSS分析。描述了RSS分析的基本假设,即加密压缩后的信息具有比载体隐密区域更强的随机性。从基本条件、统计特征、判决规则、隐密信息长度估计等方面分析了一些具有代表性的RSS分析的原理及其各自的优缺点。在此基础上讨论了RSS分析的基本假设普遍存在的问题,并指出应从理论研究和方法创新等方面进行进一步的研究。     

基于RSS的高校网络教育资源系统研究

本文介绍了RSS技术的概念、工作原理和技术特点,分析了当前高校网络教育资源系统的现状,探讨了RSS在海量、异构的教育资源环境中的应用,并设计实现了网络教学资源的获取、聚合、过滤和发布。     

Efficient Monitoring Algorithm for Fast News Alerts

Recently, there has been a dramatic increase in the use of XML data to deliver information over the Web. Personal Weblogs, news Web sites, and discussion forums are now publishing RSS feeds for their subscribers to retrieve new postings. As the popularity of personal Weblogs and RSS feeds grows rapidly, RSS aggregation services and blog search engines have appeared, which try to provide a central access point for simpler access and discovery of new content from a large number of diverse RSS sources. In this paper, we study how the RSS aggregation services should monitor the data sources to retrieve new content quickly using minimal resources and to provide its subscribers with fast news alerts. We believe that the change characteristics of RSS sources and the general user access behavior pose distinct requirements that make this task significantly different from the traditional index refresh problem for Web search engines. Our studies on a collection of 10,000 RSS feeds reveal some general characteristics of the RSS feeds and show that, with proper resource allocation and scheduling, the RSS aggregator provides news alerts significantly faster than the best existing approach.     

RSS技术在图书馆的应用和发展

RSS技术在国内外高校的广泛应用和本身推送的先进技术特点决定它将在将来的Lib2.0时代占有一席之地,具有良好的前瞻性。     

Using RSS feeds for effective mobile web browsing

While mobile phones are becoming more popular, wireless communication vendors and device manufacturers are seeking new applications for their products. Access to the large corpus of Internet information is a very prominent field. However, the technical limitations of mobile devices pose many challenges. Browsing the Internet using a mobile phone is a large scientific and cultural challenge. Web content must be adapted before it can be accessed by a mobile browser. This work presents a new methodology that uses Really Simple Syndication (RSS) feeds for the adaptation of web content for use in mobile phones. This methodology is based on concrete design guidelines and supports different viewing modes. The mobile tool provided using the RSS feeds is evaluated based on user-centered evaluation and the results are presented.     

基于RSS的个性化信息服务研究

由于绝大部分Web信息都是非结构化的,使得现有的个性化服务系统在用户建模时面临着大量的信息预处理工作,并且在个性化推送方式上缺乏动态性和时效性.将个性化技术与RSS技术相结合,首先提出基于RSS技术的个性化信息服务系统的架构,该架构在建立用户兴趣模型和信息推送中揉合了RSS技术;然后给出该架构中几个关键问题的解决方法;最后通过一个试验实例,说明该架构的可行性.     

Using maximal spanning trees and word similarity to generate hierarchical clusters of non-redundant RSS news articles

RSS news articles that are either partially or completely duplicated in content are easily found on the Internet these days, which require Web users to sort through the articles to identify non-redundant information. This manual-filtering process is time-consuming and tedious. In this paper, we present a new filtering and clustering approach, called FICUS, which starts with identifying and eliminating redundant RSS news articles using a fuzzy set information retrieval approach and then clusters the remaining non-redundant RSS news articles according to their degrees of resemblance. FICUS uses a tree hierarchy to organize clusters of RSS news articles. The contents of the respective clusters are captured by the representative keywords from RSS news articles in the clusters so that searching and retrieval of similar RSS news articles is fast and efficient. FICUS is simple, since it uses the pre-defined word-correlation factors to determine related (words in) RSS news articles and filter redundant ones, and is supported by well-known and yet simple mathematical models, such as the standard deviation, vector space model, and probability theory, to generate clusters of non-redundant RSS news articles. Experiments performed on (test sets of) RSS news articles on various topics, which were downloaded from different online sources, verify the accuracy of FICUS on eliminating redundant RSS news articles, clustering similar RSS news articles together, and segregating different RSS news articles in terms of their?contents. In addition, further empirical studies show that FICUS outperforms well-known approaches adopted for clustering RSS news articles.     

Path loss exponent estimation for wireless sensor network localization

The wireless received signal strength (RSS) based localization techniques have attracted significant research interest for their simplicity. The RSS based localization techniques can be divided into two categories: the distance estimation based and the RSS profiling based techniques. The path loss exponent (PLE) is a key parameter in the distance estimation based localization algorithms, where distance is estimated from the RSS. The PLE measures the rate at which the RSS decreases with distance, and its value depends on the specific propagation environment. Existing techniques on PLE estimation rely on both RSS measurements and distance measurements in the same environment to calibrate the PLE. However, distance measurements can be difficult and expensive to obtain in some environments. In this paper we propose several techniques for online calibration of the PLE in wireless sensor networks without relying on distance measurements. We demonstrate that it is possible to estimate the PLE using only power measurements and the geometric constraints associated with planarity in a wireless sensor network. This may have a significant impact on distance-based wireless sensor network localization.