Assessing the Completeness Evolution of DBpedia: A Case Study View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

Subhi Issa , Pierre-Henri Paris , Fayçal Hamdi

ABSTRACT

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. More... »

PAGES

238-247

References to SciGraph publications

Book

TITLE

Advances in Conceptual Modeling

ISBN

978-3-319-70624-5
978-3-319-70625-2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-70625-2_22

DOI

http://dx.doi.org/10.1007/978-3-319-70625-2_22

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092520070


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