Chen, J., Ke, H., Mo, H., Gao, X., Chen, G. (2022). CAKE: A Context-Aware Knowledge Embedding Model of Knowledge Graph. In: Strauss, C., Cuzzocrea, A., Kotsis, G., Tjoa, A.M., Khalil, I. (eds) Database and Expert Systems Applications. DEXA 2022. Lecture Notes in Computer Science, vol 13426. Springer, Cham. https://doi.org/10.1007/978-3-031-12423-5_4 https://link.springer.com/chapter/10.1007/978-3-031-12423-5_4 Abstract ... In this work, a context-aware knowledge embedding model (CAKE) has been proposed for applications like knowledge completion and link prediction . We model the generative process of KG formation based on latent Dirichlet allocation and hierarchical Dirichlet process, where the latent semantic structure of knowledge elements is learned as contexts. Contextual information, i.e. the context-specific probability distribution over elements, is thereafter leveraged in a translation-based embedding model. ...In this work, the learned embeddings of entities and relations a...