A large portion of the material on which scholarly editing is based today is available electronically in large knowledge bases. Some of these emerge from the archive, library and museum communities, for example <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">Kalliope</hi>. Such efforts require the use of standardized vocabularies and databases of entities such as persons and locations. <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">Kalliope</hi> thus links to <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">Gemeinsame Normdatei (GND)</hi>, which provides more than 120 million facts about approximately 11 million entities. The prevailing technique to realize such linked knowledge bases is the Semantic Web, as advocated by the W3C, characterized by the use of ontologies to express standardized vocabularies, global identifiers (URIs) and the possibility to express knowledge in a machine understandable way as subject-predicate-object statements with RDF. Further large knowledge bases, such as <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">Yago</hi> (Hoffart et al. 2013) and <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">DBpedia</hi> (Lehmann et al. 2015), developed mainly in computer science with Semantic Web techniques, gather and combine machine processable knowledge from "crowd-maintained" sources like <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">Wikipedia</hi> and centrally maintained sources like <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">GND</hi> or <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">GeoNames</hi>.