Abstract
We present SchemEX, an approach and tool for web-scale, real-time
indexing and schema extraction of Linked Open Data (LOD) at linear
runtime complexity. As we cannot assume that a complete retrieval
of the LOD cloud on a local machine is feasible, we follow a stream-based
approach that makes no assumption about how the RDF triples are retrieved
from the web by a data crawler. We show the applicability of our
approach by applying SchemEX to the Billion Triple Challenge Dataset
2011 and a smaller dataset with 11M triples.
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