Linked Edit Rules: A Web Friendly Way of Checking Quality of RDF Data Cubes

A. Meroño-Peñuela, Christophe Dominique Marie Guéret, S. Schlobach

Onderzoeksoutput: Hoofdstuk in boek/boekdeelHoofdstukWetenschappelijkpeer review

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Statistical data often comes with inconsistencies: records of people with negative ages, pregnant males, and underaged car drivers often populate statistical databases. National Statistical Offices (NSO) encode knowledge to detect these inconsistencies in so-called edit rules. These days, there is an increasing number of statistical data being published and linked on the Web using the RDF Data Cube vocabulary. However, edit rules are hardly ever published together with data cubes on the Web. This causes two important problems: (a) quality of RDF Data Cube data cannot be assessed; and (b) reusability of edit rules is hampered. In this paper we present Linked Edit Rules (LER), a method that makes edit rules Web friendly and reusable as Linked Data. We show that LER can be easily linked, retrieved, reused, combined and executed to check quality and consistency of RDF Data Cubes, opening up the internal NSO validation processes to the Web.
Originele taal-2Engels
TitelProceedings of the 3rd International Workshop on Semantic Statistics co-located with 14th International Semantic Web Conference (ISWC 2015)
RedacteurenSarvan Capadisli, Franck Cotton, Armin Haller, Evangelos Kalampokis, Monica Scannapieco, Raphael Troncy
Aantal pagina's12
StatusGepubliceerd - 2015
EvenementThird International Workshop on Semantic Statistics (SemStats 2015) - Bethlehem, Verenigde Staten
Duur: 11 okt 2015 → …


WorkshopThird International Workshop on Semantic Statistics (SemStats 2015)
Land/RegioVerenigde Staten
Periode11/10/2015 → …


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