Cross-Lingual Entity Resolution: Fixing Knowledge Graphs That Split Samsung into Four

Cross-lingual entity resolution addresses the problem where a single company like Samsung Electronics appears as different strings across languages, creating multiple phantom nodes in knowledge graphs. String matching fails across scripts, so the solution involves transliterating names into a canonical Latin form before comparison. This approach ensures queries return complete data regardless of the language used.