The Internet has stepped into Web 2.0 era. Web 2.0 application technologies and services are rapidly developing, accompanied by the innovation and revolution of business models. This article analyzes the development o...The Internet has stepped into Web 2.0 era. Web 2.0 application technologies and services are rapidly developing, accompanied by the innovation and revolution of business models. This article analyzes the development of Web 2.0 technologies and their promotion role in the development of Internet services, discusses the implementation of Web 2.0 core concepts (including user participation, resource sharing and platform) by the multiple Internet application technologies, and gives the development trends of Internet application technologies.展开更多
With the rapid development of Web2.0 technology, more and more social annotation systems are emerging, such as Del.icio.us, Flickr, YouTube, and CiteULike. These systems help users to manage and share their digital re...With the rapid development of Web2.0 technology, more and more social annotation systems are emerging, such as Del.icio.us, Flickr, YouTube, and CiteULike. These systems help users to manage and share their digital resources, and have attracted a lot of users to annotate the resources with tags and bookmarks, which result in a large scale of tag data. Due to the exponential increase of social annotations, all the users are facing the same problem: How can we explore the desired resources efficiently in such a large tag dataset? Since the traditional methods such as tag cloud view and annotation match work well only in small annotation dataset, this paper studies the relationships of tag-tag, tag-resource and resource-resource through the co-occurrences and proposes a new efficient way for users to organize and explore the literature resources. Our research mainly focuses on two aspects:1) The hidden semantic relationships of popular tags and their relevant literature resources;2) the computing of literature resources similarity given a specific literature. A prototype system named PKUSpace is implemented and shows promising results.展开更多
Web 2.0的出现使信息构建(IA)的内容发生了深刻变化,IA已进入"信息构建2.0"(IA2.0)阶段。在IA2.0阶段,IA作为一门学科、一种角色和一类社团的协调统一体而存在,它强调真正"以用户为中心"和"丰富的用户体验&qu...Web 2.0的出现使信息构建(IA)的内容发生了深刻变化,IA已进入"信息构建2.0"(IA2.0)阶段。在IA2.0阶段,IA作为一门学科、一种角色和一类社团的协调统一体而存在,它强调真正"以用户为中心"和"丰富的用户体验"的核心理念,以满足新环境下的用户需求。Web2.0网站的IA,是IA2.0的典型应用,也是IA2.0阶段研究的主要内容,本文将其称为网站IA2.0。文中设计了一个网站IA2.0模型,并进行了简单的实例分析。展开更多
Web 2.0的出现使得"网络推手"现象已经成为目前网络中不可忽略的一个现象,并且随着众多网络推手公司等的成立,"网络推手"行业正逐渐产业化。采用案例研究方法,并经时序分析和逻辑模型分析步骤,通过对所选取的"...Web 2.0的出现使得"网络推手"现象已经成为目前网络中不可忽略的一个现象,并且随着众多网络推手公司等的成立,"网络推手"行业正逐渐产业化。采用案例研究方法,并经时序分析和逻辑模型分析步骤,通过对所选取的"天仙MM"和"我爸是李刚"事件的分析,研究得出"网络推手"事件的演进阶段;寻找出"网络推手"炒作的基本流程,并构建了"网络推手"炒作模式图。研究具有深入了解"网络推手"现象炒作原理和其中群体协作模式的意义。展开更多
文摘The Internet has stepped into Web 2.0 era. Web 2.0 application technologies and services are rapidly developing, accompanied by the innovation and revolution of business models. This article analyzes the development of Web 2.0 technologies and their promotion role in the development of Internet services, discusses the implementation of Web 2.0 core concepts (including user participation, resource sharing and platform) by the multiple Internet application technologies, and gives the development trends of Internet application technologies.
基金supported by the Specialized Research Fund for the Doctoral Program of Higher Education(Grant No.20070001073)the National Natural Science Foundation of China(Grant Nos.90412010 and60773162)
文摘With the rapid development of Web2.0 technology, more and more social annotation systems are emerging, such as Del.icio.us, Flickr, YouTube, and CiteULike. These systems help users to manage and share their digital resources, and have attracted a lot of users to annotate the resources with tags and bookmarks, which result in a large scale of tag data. Due to the exponential increase of social annotations, all the users are facing the same problem: How can we explore the desired resources efficiently in such a large tag dataset? Since the traditional methods such as tag cloud view and annotation match work well only in small annotation dataset, this paper studies the relationships of tag-tag, tag-resource and resource-resource through the co-occurrences and proposes a new efficient way for users to organize and explore the literature resources. Our research mainly focuses on two aspects:1) The hidden semantic relationships of popular tags and their relevant literature resources;2) the computing of literature resources similarity given a specific literature. A prototype system named PKUSpace is implemented and shows promising results.
