Logic Rules Powered Knowledge Graph Embedding

Understand

Large scale knowledge graph embedding has attracted much attention from both academia and industry in the field of Artificial Intelligence.

• However, most existing methods concentrate solely on fact triples contained in the given knowledge graph.
• Inspired by the fact that logic rules can provide a flexible and declarative language for expressing rich background knowledge, it is natural to integrate logic rules into knowledge graph embedding, to transfer human knowledge to entity and relation embedding, and strengthen the learning process.
• In this paper, we propose a novel logic rule-enhanced method which can be easily integrated with any translation based knowledge graph embedding model, such as TransE .