Discovering and Maintaining Links on the Web of Data

Discovering and Maintaining Links on the Web of Data
Discovering and Maintaining Links on the Web of Data
Bibliographical Metadata
Subject:	Link Discovery
Keywords:	Linked data, web of data, link discovery, link maintenance, record linkage, duplicate detection
Year:	2009
Authors:	Julius Volz, Christian Bizer, Martin Gaedke, Georgi Kobilarov
Venue	ISWC
Content Metadata
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Abstract

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 di�erent 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 speci�cation of the conditions that entities must ful�ll in order to be interlinked; 2. A tool for evaluating the generated data links in order to �ne-tune the linking speci�cation; 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 recomputation. The interplay of all the components is demonstrated within a life science use case.

Conclusion

We presented the Silk framework, a flexible tool for discovering links between entities within di�erentWeb data sources. The Silk-LSL link speci�cation language was introduced and its applicability was demonstrated within a life science use case. We then proposed the WOD-LMP protocol for synchronizing and maintaining links between continuously changing Linked Data sources. Future work on Silk will focus on the following areas: We will implement further similarity metrics to support a broader range of linking use cases. To assist users in writing Silk-LSL speci�cations, machine learning techniques could be employed to adjust weightings or optimize the structure of the matching speci�cation. Finally, we will evaluate the suitability of Silk for detecting dupli- cate entities within local datasets instead of using it to discover links between disparate RDF data sources. The value of the Web of Data rises and falls with the amount and the quality of links between data sources. We hope that Silk and other similar tools will help to strengthen the linkage between data sources and therefore contribute to the overall utility of the network. The complete Silk { LSL language speci�cation, WoD Link Maintenance Protocol speci�cation and further Silk usage examples are found on the Silk project website at http://www4.wiwiss.fu-berlin.de/bizer/silk/.

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