This project explores the possibility of leveraging web table data from large corpora for use in populating relational databases with data for a specific domain of interest. The project implements an interface for searching through the data in such corpora for visualization purposes, allowing one to evaluate the usefulness of the data. The project also implements sorting of result relations via the compatibility of their attributes when compared using word embedding vectors to represent their proximity in natural language, with the intent of grouping together relevant data to our domain of interest in hopes of better observing the usefulness of the data in such domains.