Authors: Fayçal Hamdi, Pierre-Henri Paris, Subhi Issa
Tags: 2017, conceptual modeling
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.Read the full paper here: https://link-springer-com.proxy2.hec.ca/chapter/10.1007/978-3-319-70625-2_22
