【摘要】 维基百科是一个自由、免费、开放的多语言百科全书协作计划,允许来自世界各地的参与者共同编辑维基百科的任何词条及类别,已经成为了人们在网络中获取知识的重要来源。然而,维基类别数量庞大、嵌套层次深,维基词条间关系数量巨大,这些关系共同构成了复杂而庞大的知识网络,不利于用户迅速定位其感兴趣的信息并获取相应知识。针对该问题我们分析了维基类别与词条关系的特点,通过统计策略提取类别间的核心关系,使用户可以在大数量的词条关系中迅速定位普遍存在的重要关系。在此基础上,设计了维基类别与词条可视化界面,该界面能够展现维基类别与词条复杂的相互关系,并且兼顾维基整体与细节信息。更多还原

【Abstract】 Wikipedia is a free and open online encyclopedia, which allows users from all over the world to edit its articles and categories, and it has been an important online knowledge source. However, the number of categories and articles relationship is huge, and the depth of categories is too deep, those together form a complicated and huge knowledge network. For Wikipedia’s huge size and complication, users cannot locate their interested information and learn knowledge from Wikipedia. To solve the problem, the approach of this paper analyses the feature of categories and articles in Wikipedia, extracts core relationship among categories based on statistic method, and the core relationship allows user find existing important relationships from all relationships of an article. In further, this approach designs the visualization of categories and article, and is able to display multi-type relations and detail & whole information of Wikipedia.更多还原