Cross domain has a diverse and irregular vocabulary usage, which implies a large number of mixed and heterogeneous datasets, with (larger) co-occurrence of schema references and type-statements (cf. measure distinct classes). Additionally, the number of typed subjects varies much.
Name | # of Edges |
---|---|
dbpedia-en-wo-nifs | 1,042,217,722 |
webisalod | 422,646,060 |
dnb-gemeinsame-normdatei | 153,127,862 |
dbkwik | 26,694,081 |
muninn-world-war-i | 20,314,285 |
educationalprograms_sisvu | 3,347,709 |
imagesnippets | 1,058,080 |
sandrart-net | 147,968 |
colinda | 100,396 |
lak-dataset | 98,583 |
nobelprizes | 96,449 |
museums-in-italy | 49,905 |
vulnerapedia | 32,089 |
polymath-virtual-library | 9,539 |
rkb-explorer-webscience | 1,003 |