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
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| 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 | |
| Problem: | No data available now. |
| Approach: | No data available now. |
| Implementation: | No data available now. |
| Evaluation: | No data available now. |
Abstract
T
Conclusion
We presented the Silk framework, a flexible tool for discovering links between entities within different web data sources. The Silk-LSL link specification 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
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 specifications, machine learning techniques could be employed to adjust weightings or optimize the structure of the matching specification. Finally, we will evaluate the suitability of Silk for detecting duplicate 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.
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Has Documentation URL: http://www4.wiwiss.fu-berlin.de/bizer/silk/.
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