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luzzu from group io.github.luzzu (version 4.0.0)

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.

Group: io.github.luzzu Artifact: luzzu
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Artifact luzzu
Group io.github.luzzu
Version 4.0.0
Last update 26. October 2018
Organization ADAPT Centre, Trinity College Dublin, Ireland
URL https://luzzu.github.io/Framework/
License GNU GENERAL PUBLIC LICENSE, Version 2.0
Dependencies amount 15
Dependencies hamcrest-all, apache-jena-libs, jena-core, log4j, slf4j-api, jcl-over-slf4j, slf4j-log4j12, slf4j-jdk14, commons-collections4, jackson-core, httpclient, httpcore, httpcore-nio, httpasyncclient, httpasyncclient-cache,
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