Online Index Extraction from Linked Open Data Sources

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
The production of machine-readable data in the form of RDF (Resource Description Framework) datasets belonging to the Linked Open Data (LOD) cloud is growing very fast. However, selecting relevant knowledge sources from the cloud, assessing the quality and extracting synthetical information from a LOD source are all tasks that require a strong human effort. This paper proposes an approach for the automatic extraction of the more representative information from a LOD source and the creation of a set of indexes that enhance the description of the dataset.
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