Knowledge Graph Alignment using String Edit Distance

Abstract

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

Position Paper

References in corpus (2)

• Type-Constrained Representation Learning in Knowledge Graphs
• Multi-view Knowledge Graph Embedding for Entity Alignment