Over the past years, the size of the Data Web has increased significantly, which makes obtaining general insights into its growth and structure both more challenging and more desirable. The lack of such insights hinders important data management tasks such as quality, privacy and coverage analysis. In this paper, we present LODStats, which provides a comprehensive picture of the current state of a significant part of the Data Web. LODStats integrates RDF datasets from data.gov, publicdata.eu and datahub.io data catalogs and at the time of writing lists over 9 000 RDF datasets. For each RDF dataset, LODStats collects comprehensive statistics and makes these available in adhering to the LDSO vocabulary. This analysis has been regularly published and enhanced over the past four years at the public platform lodstats.aksw.org. We give a comprehensive overview over the resulting dataset.
%0 Conference Paper
%1 iermilov-2016-lodstats-iswc
%A Ermilov, Ivan
%A Lehmann, Jens
%A Martin, Michael
%A Auer, Sören
%B Proceedings of 15th International Semantic Web Conference - Resources Track (ISWC'2016)
%D 2016
%K 2016 auer bde group_aksw iermilov leds lehmann lodstats martin simba
%T LODStats: The Data Web Census Dataset
%U http://svn.aksw.org/papers/2016/ISWC_LODStats_Resource_Description/public.pdf
%X Over the past years, the size of the Data Web has increased significantly, which makes obtaining general insights into its growth and structure both more challenging and more desirable. The lack of such insights hinders important data management tasks such as quality, privacy and coverage analysis. In this paper, we present LODStats, which provides a comprehensive picture of the current state of a significant part of the Data Web. LODStats integrates RDF datasets from data.gov, publicdata.eu and datahub.io data catalogs and at the time of writing lists over 9 000 RDF datasets. For each RDF dataset, LODStats collects comprehensive statistics and makes these available in adhering to the LDSO vocabulary. This analysis has been regularly published and enhanced over the past four years at the public platform lodstats.aksw.org. We give a comprehensive overview over the resulting dataset.
@inproceedings{iermilov-2016-lodstats-iswc,
abstract = {Over the past years, the size of the Data Web has increased significantly, which makes obtaining general insights into its growth and structure both more challenging and more desirable. The lack of such insights hinders important data management tasks such as quality, privacy and coverage analysis. In this paper, we present LODStats, which provides a comprehensive picture of the current state of a significant part of the Data Web. LODStats integrates RDF datasets from data.gov, publicdata.eu and datahub.io data catalogs and at the time of writing lists over 9 000 RDF datasets. For each RDF dataset, LODStats collects comprehensive statistics and makes these available in adhering to the LDSO vocabulary. This analysis has been regularly published and enhanced over the past four years at the public platform lodstats.aksw.org. We give a comprehensive overview over the resulting dataset.},
added-at = {2024-03-04T14:14:00.000+0100},
author = {Ermilov, Ivan and Lehmann, Jens and Martin, Michael and Auer, S\"oren},
biburl = {https://www.bibsonomy.org/bibtex/2062f4508bf3ac2e3afc12fba25a4d96b/aksw},
booktitle = {Proceedings of 15th International Semantic Web Conference - Resources Track (ISWC'2016)},
interhash = {a61c3ae805e964093eaca28fc8efa639},
intrahash = {062f4508bf3ac2e3afc12fba25a4d96b},
keywords = {2016 auer bde group_aksw iermilov leds lehmann lodstats martin simba},
owner = {iermilov},
timestamp = {2024-03-04T14:14:00.000+0100},
title = {LODStats: The Data Web Census Dataset},
url = {http://svn.aksw.org/papers/2016/ISWC_LODStats_Resource_Description/public.pdf},
year = 2016
}