Luzzu - A Quality Assessment Framework for Linked Open Datasets

This is a fork of Luzzu (https://github.com/EIS-Bonn/Luzzu) that is modified for DIACHRON

Luzzu is a Quality Assessment Framework for Linked Open Datasets. It is a generic framework based on the Dataset Quality Ontology (daQ), allowing users to define their own quality metrics. Luzzu is an integrated platform that:

• assesses Linked Data quality using a library of generic and user-provided domain specific quality metrics in a scalable manner;
• provides queryable quality metadata on the assessed datasets;
• assembles detailed quality reports on assessed datasets.

Furthermore, the infrastructure:

• scales for the assessment of big datasets;
• can be easily extended by the users by creating their custom and domain-specific pluggable metrics, either by employing a novel declarative quality metric specification language or conventional imperative plugins;
• employs a comprehensive ontology framework for representing and exchanging all quality related information in the assessment workflow;
• implements quality-driven dataset ranking algorithms facilitating use-case driven discovery and retrieval.

More information regarding the framework can be found at our website (http://eis-bonn.github.io/Luzzu)

Building

mvn clean install

Executing the Application

mvn exec:java -pl luzzu-communications

You should now be able to navigate to http://localhost:8080/Luzzu/application.wadl and view a simplified Web Application Description Language (WADL) descriptior for the application with user and core resources only.

To get full WADL with extended resources use the query parameter detail e.g http://localhost:8080/Luzzu/application.wadl?detail=true