Enhancing Dataset Quality using Keys

Featuring ROCKER – A Refinement Operator for Key Discovery

  Find all minimal keys.

ROCKER is a state-of-the-art tool for discovering keys on a Linked Dataset. Based on a refinement operator approach, it can find all almost-keys within a threshold and scales to potentially the whole Web of Data.

  Discover corrupted data.

Beyond their important role for Link Discovery, keys can help discover errors in data, such as duplicate entities, missing values or wrong values.

  Visualize and compare resources.

This web interface allows to visualize resources which may contain errors in their concise bounded description, in order to enhance the dataset quality.