This project focuses on the integration of both relational tables as well as knowledge graphs to create embeddings that allow for easier question answering. Creating such embeddings allows for a retrieval of certain entities of interest directly, rather than first obtaining the information from the knowledge graph and the from the relation tables. The tool created in this project allows for obtaining all web tables that contain our entity of interest which is then used with the knowledge graph by running T2K, which is a matching algorithm optimized to match millions of web tables against a knowledge graph. We assume that the subgraph of a knowledge graph based on a specific entity of interest is available.