Crowd-sourcing the Evaluation of Linked Data Quality using the Example of DBpedia (original) (raw)

Abstract

Abstract. Linked Open Data (LOD) comprises of an unprecedented volume of structured data being available on the Web. However, these datasets are of very varying quality ranging from extensively curated datasets to crowd-sourced and even extracted data of relatively low quality. We present a methodology for crowd-sourcing the quality assessment of linked data resources. The first step of the methodology comprises the detection of common quality problems and their representation in a quality problem taxonomy. In a second phase, the ...

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