Knowledge Graph Alignment using String Edit Distance
arXiv:2003.12145v2
AI Analysis
This addresses the problem of aligning knowledge graphs for researchers and practitioners, but it appears incremental as it builds on existing string edit distance methods.
The paper tackles knowledge graph alignment by proposing a technique based on string edit distance that leverages entity type information and handles relations of any arity, but no concrete results or numbers are provided.
In this work, we propose a novel knowledge graph alignment technique based upon string edit distance that exploits the type information between entities and can find similarity between relations of any arity