Group: de.unibonn.iai.eis - All Dependencies

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Luzzu Semantics Module · Semantics is the underlying semantics description module for Luzzu.

Jun 09, 2017
6 usages
11 stars
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Luzzu Operations Module · 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.

Jun 09, 2017
4 usages
11 stars
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Jun 09, 2017
2 usages
11 stars
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luzzu-webapp 2.0.1

Jun 09, 2017
1 usages
11 stars
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luzzu-qml 2.0.1

Luzzu Quality Metric Language · 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.

Jun 09, 2017
1 usages
11 stars
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luzzu-io 2.0.1

Luzzu IO Module · This module describes the IO operations for the Quality Assessment Framework

Jun 09, 2017
1 usages
11 stars
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Jun 09, 2017
1 usages
11 stars
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Luzzu Communications Module · This module deals with the RESTful APIs

Jun 09, 2017
11 stars
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luzzu 2.0.1

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.

Jun 09, 2017
12 stars

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