Project Group: io.github.luzzu

Luzzu Low-Level Operations Module

io.github.luzzu : luzzu-lowlevel-operations

The low-level operations module consists of classes that support the execution and maintanace of Luzzu such as caching, filelocks, exception handling etc…

Last Version: 4.0.0

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Luzzu Semantics Module

io.github.luzzu : luzzu-semantics

Semantics is the underlying semantics description module for Luzzu.

Last Version: 4.0.0

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Luzzu Assessment Module

io.github.luzzu : 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: 4.0.0

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Luzzu High-Level Operations Module

io.github.luzzu : luzzu-highlevel-operations

This module consists of classes that support Luzzu on a higher level such as ranking

Last Version: 4.0.0

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Luzzu Linked Data Quality Metric Commons

io.github.luzzu : luzzu-ld-qualitymetrics-commons

In this module we capture a number of data types and algorithms that can be potentially used for building Linked Data quality metrics. These are automatically included with the luzzu-assessment project, therefore, there is no need to import this dependency in your quality metric implementation project.s

Last Version: 4.0.0

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Luzzu Annotations Module

io.github.luzzu : 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: 4.0.0

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Luzzu Quality Metric Language

io.github.luzzu : 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: 4.0.0

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Luzzu IO Module

io.github.luzzu : luzzu-io

This module describes the IO operations for the Quality Assessment Framework

Last Version: 4.0.0

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luzzu-webapp

io.github.luzzu : 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: 4.0.0

Release Date:

Luzzu

io.github.luzzu : 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: 4.0.0

Release Date:

Luzzu Communications Module

io.github.luzzu : luzzu-communications

This module deals with the RESTful APIs

Last Version: 4.0.0

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