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Discovering and Maintaining Links on the Web of Data

机译:在数据网络上发现和维护链接

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The Web of Data is built upon two simple ideas: Employ the RDF data model to publish structured data on the Web and to create explicit data links between entities within different data sources. This paper presents the Silk - Linking Framework, a toolkit for discovering and maintaining data links between Web data sources. Silk consists of three components: 1. A link discovery engine, which computes links between data sources based on a declarative specification of the conditions that entities must fulfill in order to be interlinked; 2. A tool for evaluating the generated data links in order to fine-tune the linking specification; 3. A protocol for maintaining data links between continuously changing data sources. The protocol allows data sources to exchange both linksets as well as detailed change information and enables continuous link recom-putation. The interplay of all the components is demonstrated within a life science use case.
机译:数据网基于两个简单的思想:使用RDF数据模型在Web上发布结构化数据,并在不同数据源内的实体之间创建显式数据链接。本文介绍了Silk-Linking Framework,该工具包用于发现和维护Web数据源之间的数据链接。 Silk由三个部分组成:1.链接发现引擎,该链接发现引擎根据对实体必须满足的条件的声明性说明来计算数据源之间的链接; 2.用于评估生成的数据链接以便微调链接规范的工具; 3.一种用于在不断变化的数据源之间维护数据链接的协议。该协议允许数据源交换链接集和详细的更改信息,并实现连续的链接重新计算。在生命科学用例中演示了所有组件的相互作用。

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