Project Group: de.unibonn.iai.eis

Luzzu Semantics Module

de.unibonn.iai.eis : luzzu-semantics

Semantics is the underlying semantics description module for Luzzu.

Last Version: 2.0.1

Release Date:

Luzzu Operations Module

de.unibonn.iai.eis : luzzu-operations

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.

Last Version: 2.0.1

Release Date:

Luzzu Assessment Module

de.unibonn.iai.eis : luzzu-assessment

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.

Last Version: 2.0.1

Release Date:

Luzzu Annotations Module

de.unibonn.iai.eis : luzzu-annotations

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.

Last Version: 2.0.1

Release Date:

Luzzu IO Module

de.unibonn.iai.eis : luzzu-io

This module describes the IO operations for the Quality Assessment Framework

Last Version: 2.0.1

Release Date:

Luzzu Quality Metric Language

de.unibonn.iai.eis : luzzu-qml

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.

Last Version: 2.0.1

Release Date:

luzzu-webapp

de.unibonn.iai.eis : luzzu-webapp

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.

Last Version: 2.0.1

Release Date:

Luzzu

de.unibonn.iai.eis : 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.

Last Version: 2.0.1

Release Date:

Last Version: 2.0.1

Release Date:

  • 1