# Column2Vec: Structural Understanding via Distributed Representations of Database Schemas

## TL;DR

Column2Vec introduces a method to generate meaningful representations of database columns from metadata, enabling applications like automatic column naming, validated on open-source schemas.

## Contribution

This paper presents Column2Vec, a novel approach for embedding database columns based on metadata, facilitating schema understanding and automation tasks.

## Key findings

- Effective column embeddings generated from metadata
- Successful automatic column naming demonstrated
- Viability shown on open-source schemas

## Abstract

We present Column2Vec, a distributed representation of database columns based on column metadata. Our distributed representation has several applications. Using known names for groups of columns (i.e., a table name), we train a model to generate an appropriate name for columns in an unnamed table. We demonstrate the viability of our approach using schema information collected from open source applications on GitHub.