Paper Info
Title
LODStats: The Data Web Census Dataset.
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 the LODStats dataset, which provides a comprehensive picture of the current state of a significant part of the Data Web. LODStats is based on RDF datasets from data.gov, publicdata.eu and datahub.io data catalogs and at the time of writing lists over 9000 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 five years at the public platform lodstats.aksw.org. We give a comprehensive overview over the resulting dataset.
Year
DOI
Venue
2016
10.1007/978-3-319-46547-0_5
Lecture Notes in Computer Science
Field
DocType
Volume
Semantic technology,Information retrieval,Computer science,Data Web,Vocabulary,Data management,RDF,Census,Database
Conference
9982
ISSN
Citations 
PageRank 
0302-9743
10
0.60
References 
Authors
6
4
Name
Order
Citations
PageRank
Ivan Ermilov19811.27
Jens Lehmann25375355.08
Michael Martin31358.40
Sören Auer45711418.56