0


术语对语义网的依赖

Term Dependence on the Semantic Web
课程网址: http://videolectures.net/iswc08_cheng_tdosw/  
主讲教师: Gong Cheng
开课单位: 南京大学
开课时间: 2008-11-24
课程语种: 英语
中文简介:
各方在语义Web上发布了大量术语(类和属性),以便共享用于描述资源。术语基于其他术语定义,因此形成定向依赖关系。术语依赖性研究是一项基础工作,对于许多其他任务非常重要,例如本体维护,集成和Web规模的分布式推理。在本文中,我们分析了术语依赖图和诱导词汇依赖图的复杂网络特征。在实验中分析的图表是从包含3,039个词汇表中的1,278,233个术语的大数据集构建的。结果在很多方面表征了语义Web上模式的当前状态,包括度分布,可达性和连通性。
课程简介: A large amount of terms (classes and properties) have been published on the Semantic Web by various parties, to be shared for describing resources. Terms are defined based on other terms, and thus a directed dependence relation is formed. The study of term dependence is a foundation work and is important for many other tasks, such as ontology maintenance, integration, and distributed reasoning on the Web scale. In this paper, we analyze the complex network characteristics of the term dependence graph and the induced vocabulary dependence graph. The graphs analyzed in the experiments are constructed from a large data set that contains 1,278,233 terms in 3,039 vocabularies. The results characterize the current status of schemas on the Semantic Web in many aspects, including degree distributions, reachability, and connectivity.
关 键 词: 描述资源; 术语; 依赖性研究
课程来源: 视频讲座网
最后编审: 2019-04-27:cwx
阅读次数: 65