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Enabling ad-hoc reuse of private data repositories through schema extraction

A paper proposing a configurable and automated schema extraction approach for RDF triple stores.

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Enabling ad-hoc reuse of private data repositories through schema extraction

By Lars Gleim, Md. Rezaul Karim, Lukas Zimmermann, Oliver Kohlbacher, Holger Stenzhorn, Stefan Decker, Oya BeyanJournal of Biomedical Semantics
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The authors present an approach to extract and publish data schemas from private repositories, enabling SPARQL query formulation without direct access. Evaluation with four datasets shows the effectiveness of this method in deriving concise and task-relevant schemas.

This approach can facilitate reuse of data from previously inaccessible sources.

Abstract

The authors present an approach to extract and publish data schemas from private repositories, enabling SPARQL query formulation without direct access. Evaluation with four datasets shows the effectiveness of this method in deriving concise and task-relevant schemas. This approach can facilitate reuse of data from previously inaccessible sources.

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schema extractionrdf triple storessparql query formulationdata reuseprivate repositoriesKnowledge GraphsStructured ContentSemantic InteroperabilityOntology & Taxonomy
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