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The Luzzu Quality Metric Language (LQML) is a simple declerative language which allows users of the Luzzu Framework to define their own metrics in a simple declerative manner.

The operations module consists of classes that (1) support the execution and maintanace of Luzzu (such as caching); and (2) support data operations (such as validations, graph signatures and ranking) on quality metadata.

This module describes the IO operations for the Quality Assessment Framework

This module deals with the RESTful APIs

Semantics is the underlying semantics description module for Luzzu.

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.