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Managing Linked Data on the Web: The LinkedMDB Showcase

机译:管理Web上的链接数据:linkedmdb showcase

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The Linking Open Data community project is extending the Web by encouraging the creation of interlinks (RDF links between data items from different datasets identified using dereferenceable URIs). This emerging web of linked data is closely intertwined with the existing web, since structured data items can be embedded into web documents (e.g., RDFa or microformat encoded data), and RDF links can reference classic web pages. Abundant linked data justifies extending the capabilities of web browsers and search engines, and enables new usage scenarios, novel applications and sophisticated mashups.This promising direction for publishing data on the web brings forward a number of challenges. While existing data management techniques can be leveraged to address the challenges, there are unique aspects to managing web scale interlinking. In this presentation, we describe two specific challenges; achieving and managing dense interlinking, and describing data, metadata, and interlinking within and among linked web datasets. Approaches to solve these challenges are showcased in the context of LinkedMDB, the first open linked dataset for movies. LinkedMDB has a large number of interlinks (over a quarter of a million) to other open linked datasets, as well as RDF links to movie-related webpages.
机译:该关联开放数据社区项目是通过鼓励互连链路建立(使用提领的URI标识不同的数据集的数据项之间RDF链接)扩展Web。这种新兴的关联数据网络与现有网络紧密联系在一起的,因为结构化数据项可以被嵌入到网页文件(例如,RDFa的或微格式编码的数据),以及RDF链接可以参考经典的网页。扩展的Web浏览器的功能丰富的链接的数据证明和搜索引擎,并支持新的使用场景,新的应用和复杂的mashups.This看好方向在网络上发布的数据提出了许多挑战。虽然现有的数据管理技术可以利用,以应对这些挑战,有独特的方面来管理网络规模互连。在本次讲座中,我们描述了两个具体的挑战;实现和管理密互连,和描述数据,元数据,以及内和连结的网络数据集之间互连。方法来解决这些挑战,LinkedMDB,电影首开链接的数据集的上下文中展出。 LinkedMDB有大量互连链路(超过25万),以其他开放联的数据集,以及RDF链接,电影相关的网页。

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