Browsing Data Science Institute by Subject "Data quality"
Now showing items 1-2 of 2
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Measuring accuracy of triples in knowledge graphs
(Springer, 2017-06-19)An increasing amount of large-scale knowledge graphs have been constructed in recent years. Those graphs are often created from text-based extraction, which could be very noisy. So far, cleaning knowledge graphs are ... -
On learnability of constraints from RDF data
(Springer International Publishing, 2016-05-14)RDF is structured, dynamic, and schemaless data, which enables a big deal of flexibility for Linked Data to be available in an open environment such as the Web. However, for RDF data, flexibility turns out to be the source ...