Ranking Knowledge Graphs By Capturing Knowledge about Languages and Labels
Lucie-Aimée Kaffee, Kemele M. Endris, Elena Paslaru Bontas Simperl, María-Esther Vidal · 2019
Capturing knowledge about the mulitilinguality of a knowledge graph is of supreme importance to understand its applicability across multiple languages. Several metrics have been proposed for describing mulitilinguality at the level of a whole knowledge graph. Albeit enabling the understanding of the ecosystem of knowledge graphs in terms of the utilized languages, they are unable to capture a fine-grained description of the languages in which the different entities and properties of the knowledge graph are represented. This lack of representation prevents the comparison of existing knowledge graphs in order to decide which are the most appropriate for a multilingual application.