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Ontology Design Patterns: Improving Findability and Composition Read chapter Read first chapter

2014 | OriginalPaper | Chapter

Aether – Generating and Viewing Extended VoID Statistical Descriptions of RDF Datasets

Author : Eetu Mäkelä

Published in: The Semantic Web: ESWC 2014 Satellite Events

Publisher: Springer International Publishing

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Abstract

This paper presents the Aether web application for generating, viewing and comparing extended VoID statistical descriptions of RDF datasets. The tool is useful for example in getting to know a newly encountered dataset, in comparing datasets between versions and in detecting outliers and errors. Examples are given on how the tool has been used to shed light on multiple important datasets.

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Footnotes
Literature
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Alexander, K., Cyganiak, R., Hausenblas, M., Zhao, J.: Describing linked datasets with the VoID vocabulary. W3C Interest Group Note, March 2011
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Auer, Sören, Demter, Jan, Martin, Michael, Lehmann, Jens: LODStats – an extensible framework for high-performance dataset analytics. In: ten Teije, Annette, Völker, Johanna, Handschuh, Siegfried, Stuckenschmidt, Heiner, d’Acquin, Mathieu, Nikolov, Andriy, Aussenac-Gilles, Nathalie, Hernandez, Nathalie (eds.) EKAW 2012. LNCS, vol. 7603, pp. 353–362. Springer, Heidelberg (2012)
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Langegger, A., Wöß, W.: Rdfstats - an extensible rdf statistics generator and library. In: Tjoa, A.M., Wagner, R. (eds.): DEXA Workshops, pp. 79–83. IEEE Computer Society (2009)
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Cyganiak, R., Reynolds, D., Tennison, J.: The RDF data cube vocabulary. W3C Recommendation, January 2014
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Bizer, C., Heath, T., Berners-Lee, T., Idehen, K. (eds.): Proceedings of the WWW2009 Workshop on Linked Data on the Web, LDOW 2009, Madrid, Spain, 20 April 2009 (Bizer, C., Heath, T., Berners-Lee, T., Idehen, K. (eds.): LDOW. CEUR Workshop Proceedings, vol. 538. CEUR-WS.org (2009)
Metadata
Title
Aether – Generating and Viewing Extended VoID Statistical Descriptions of RDF Datasets
Author
Eetu Mäkelä
Copyright Year
2014
Book
The Semantic Web: ESWC 2014 Satellite Events

Print ISBN: 978-3-319-11954-0

Electronic ISBN: 978-3-319-11955-7

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-11955-7_61