从相互关联的数据中创造知识Creating Knowledge Out of Interlinked Data |
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课程网址: | http://videolectures.net/wims2011_auer_interlinked/ |
主讲教师: | Sören Auer |
开课单位: | 莱比锡大学 |
开课时间: | 2011-11-22 |
课程语种: | 英语 |
中文简介: | 在过去的4年中,语义web活动随着RDF格式的结构化数据的广泛发布而发展壮大。因此,链接数据范式已经从一种实用的研究理念发展成为解决语义Web远景领域中最大挑战之一的非常有前途的候选者:利用Web作为数据和信息集成平台。这最初的成功转化为一座世界级规模的现实,很多研究需要解决的挑战:关系之间的性能差距和RDF数据管理必须关闭,在网上公布的数据的一致性和质量改进,出处和信任在关联数据网络必须建立和一般入学障碍数据出版商和用户必须降低。本讲座将讨论处理这些挑战的方法,并将它们集成到一个相互优化的循环中——“链接数据清洗机”。 |
课程简介: | Over the past 4 years, the semantic web activity has gained momentum with the widespread publishing of structured data as RDF. The Linked Data paradigm has therefore evolved from a practical research idea into a very promising candidate for addressing one of the biggest challenges in the area of the Semantic Web vision: the exploitation of the Web as a platform for data and information integration. To translate this initial success into a world-scale reality, a number of research challenges need to be addressed: the performance gap between relational and RDF data management has to be closed, coherence and quality of data published on the Web have to be improved, provenance and trust on the Linked Data Web must be established and generally the entrance barrier for data publishers and users has to be lowered. This talk will discuss approaches for tackling these challenges and their integration into a mutual refinement cycle - the "linked data washing machine". |
关 键 词: | 语义网; 计算机科学; 语义网; RDF资源描述框架 |
课程来源: | 视频讲座网 |
最后编审: | 2021-01-31:nkq |
阅读次数: | 36 |