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如何在Web上发布链接数据

How to Publish Linked Data on the Web
课程网址: http://videolectures.net/iswc08_heath_hpldw/  
主讲教师: Richard Cyganiak, Michael Hausenblas, Christian Bizer, Olaf Hartig, Tom Heath
开课单位: 爱尔兰国立大学
开课时间: 2008-11-24
课程语种: 英语
中文简介:
Web越来越被理解为一个全球信息空间,不仅包括链接文档,还包含关联数据。关联数据原则为实现此Web数据或语义Web提供了基础。自2007年初以来,根据这些原则在网络上发布了大量数据集,其中包括音乐,书籍,地理信息,电影,人物,事件,评论和照片等领域。这些数据集合包含超过20亿个RDF三元组,与跨越数据集的300多万个三元组相互关联。随着这个关联数据Web的不断发展,以及越来越多的应用程序被开发利用这些数据集,数据发布者,研究人员,开发人员和Web从业者越来越需要了解关联数据的原则和实践。本教程由关联数据社区的一些主要成员运行,将满足这些需求,并为参与者提供坚实的基础,从中开始在Web上发布关联数据,以及实现使用关联数据的应用程序。网页。
课程简介: The Web is increasingly understood as a global information space consisting not just of linked documents, but also of Linked Data. The Linked Data principles provide a basis for realizing this Web of Data, or Semantic Web. Since early 2007 numerous data sets have been published on the Web according to these principles, in domains as broad as music, books, geographical information, films, people, events, reviews and photos. In combination these data sets consist of over 2 billion RDF triples, interlinked by more than 3 million triples that cross data sets. As this Web of Linked Data continues to grow, and an increasing number of applications are developed that exploit these data sets, there is a growing need for data publishers, researchers, developers and Web practitioners to understand Linked Data principles and practice. Run by some of the leading members of the Linked Data community, this tutorial will address those needs, and provide participants with a solid foundation from which to begin publishing Linked Data on the Web, as well as to implement applications that consume Linked Data from the Web.
关 键 词: 全球信息空间; 关联数据; 数据集
课程来源: 视频讲座网
最后编审: 2019-04-28:cwx
阅读次数: 79