aksw.org Research Group dataset



Large-scale RDF Dataset Slicing

In the last years an increasing number of structured data was published on the Web as Linked Open Data (LOD).Despite recent advances, consuming and using Linked Open Data within an organization is still a substantial challenge. Many of the LOD datasets are quite large and despite progress in RDF data management their loading and querying within a triple store is extremely time-consuming and resource-demanding. To overcome this consumption obstacle, we propose a process inspired by the classical Extract-Transform-Load (ETL) paradigm, RDF dataset slicing.
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