语义Web的无尺度特性分析

在复杂网络分析中,通常采用随机网络模型。新的研究表明,在万维网中的网页链接结构与信息传播途径更加适合采用无尺度网络模型描述,即规模巨大的网络信息资源是由少量的以信息集散节点为核心的网络链接方式构成的。此外,万维网中同样具有一个“小世界”特征,具有相同主题的资源构成一系列小集群,进而构成无尺度网络。这些特性对基于XML/RDF等规范的语义Web同样存在。万维网无尺度特征的形成是人类人文活动的必然结果,是成长与进化的必然。语义Web的无尺度特征和小世界结构,对于语义Web的设计与实现,对信息的主动服务以及优化信息资源的组织方法都至关重要。

Analysis of scale-free characteristic on semantic web

The random network model is widely used in analysis of the complex network. Recently some researchers discovered that many networks-from the world-wide-web to a cell's metabolic system-are dominated by a relatively small number of nodes called hubs that are connected to many other sites. So the information transmission approaches or the links of web pages are becoming a kind of scale-free networks. The huge network information resources in world-wide-web are mainly controlled by the core of few information hub nodes. Another earmark is a small-world phenomenon in the world-wide-web, in which clusters are groupings of Web pages devoted to the same topic, and then form scale-free networks. The scale-free characteristic of the world-wide-web is inevitably formed as the growth and evolvement of the humanities activity. This paper combines these characteristics with the analysis of Semantic Web, organizing of active information services and optimizing of allocation of the information resources.