Paper Info
Title
Test-driven Assessment of [R2]RML Mappings to Improve Dataset Quality.
Abstract
rdf dataset quality assessment is currently performed primarily after data is published. Incorporating its results, by applying corresponding adjustments to the dataset, happens manually and occurs rarely. In the case of (semi-)structured data (e.g., csv, xml), the root of the violations often derives from the mappings that specify how the rdf dataset will be generated. Thus, we suggest shifting the quality assessment from the rdf dataset to the mapping definitions that generate it. The proposed test-driven approach for assessing mappings relies on rdfunit test cases applied over mappings specified with rml. Our evaluation is applied to different cases, e.g., dbpedia, and indicates that the overall quality of an rdf dataset is quickly and significantly improved.
Year
Venue
Field
2015
International Semantic Web Conference (Posters & Demos)
Data mining,Information retrieval,XML,Computer science,Test case,Data model,RDF
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
3
8
Name
Order
Citations
PageRank
Anastasia Dimou118535.53
Dimitris Kontokostas249031.79
Markus Freudenberg3233.97
Ruben Verborgh4630105.49
Jens Lehmann55375355.08
Erik Mannens667199.58
Sebastian Hellmann72007130.09
Rik Van de Walle82040238.28