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Assessing the Completeness Evolution of DBpedia: A Case Study

2017; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-319-70625-2_22

1611-3349

Subhi Issa, Pierre-Henri Paris, Fayçal Hamdi,

Advanced Database Systems and Queries

RDF web datasets, thanks to their semantic richness, variety and fine granularity, are increasingly adopted by both researchers' and business communities. However, as anyone can publish data, this leads to sparse and heterogeneous data descriptions with undeniably an impact on quality. Consequently, there is an increasing effort dedicated to Web data quality improvement. We are interested in data quality and precisely in completeness quality evolution over time. The paper presents a set of experiments aiming to analyze the evolution of completeness quality values over several versions of DBpedia.