Knowledge Graph Embedding: A Survey of Approaches and Applications

Knowledge graph (KG) embedding is to embed components of a KG including entities and relations into continuous vector spaces, so as to simplify the manipulation while preserving the inherent structure of the KG. It can benefit a variety of downstream tasks such as KG completion and relation extraction, and hence has quickly gained massive attention. In this article, we provide a systematic review of existing techniques, including not only the state-of-the-arts but also those with latest trends. Particularly, we make the review based on the type of information used in the embedding task. Techniques that conduct embedding using only facts observed in the KG are first introduced. We describe the overall…

• NN
  National Natural Science Foundation of China

  Awards: 61402465, 61502477
• CA
  Chinese Academy of Sciences

  Award: Y7Z0261101
• NK
  National Key Research and Development Program of China

  Awards: 2016QY03D0503, 2016QY03D0505