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[IPH17] Assessing the Completeness Evolution of DBpedia: A Case Study

Atelier, Poster ou Démonstration dans une Conférence Internationale : Advances in Conceptual Modeling - ER 2017 Workshops AHA, MoBiD, MREBA, OntoCom, and QMMQ, Valencia, Spain, November 6-9, 2017, Proceedings, November 2017, Vol. 10651, pp.238-247, Series Lecture Notes in Computer Science, Valencia, Spain, (DOI: 10.1007/978-3-319-70625-2_22)
motcle:
Résumé: 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.

BibTeX

@inproceedings {
IPH17,
title="{Assessing the Completeness Evolution of DBpedia: A Case Study}",
author=" S. Issa and P. Paris and F. Hamdi ",
booktitle="{Advances in Conceptual Modeling - ER 2017 Workshops AHA, MoBiD, MREBA, OntoCom, and QMMQ, Valencia, Spain, November 6-9, 2017, Proceedings}",
year=2017,
month="November",
series="Lecture Notes in Computer Science",
volume=10651,
pages="238-247",
address="Valencia, Spain",
doi="10.1007/978-3-319-70625-2_22",
}