2018 | OriginalPaper | Chapter
Detecting Erroneous Identity Links on the Web Using Network Metrics
Authors : Joe Raad, Wouter Beek, Frank van Harmelen, Nathalie Pernelle, Fatiha Saïs
Published in: The Semantic Web – ISWC 2018
Publisher: Springer International Publishing
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Abstract
owl:sameAs
statements are needed in order to link the data and foster reuse. Studies that date back as far as 2009, have observed that the owl:sameAs
property is sometimes used incorrectly. In this paper, we show how network metrics such as the community structure of the owl:sameAs
graph can be used in order to detect such possibly erroneous statements. One benefit of the here presented approach is that it can be applied to the network of owl:sameAs
links itself, and does not rely on any additional knowledge. In order to illustrate its ability to scale, the approach is evaluated on the largest collection of identity links to date, containing over 558M owl:sameAs
links scraped from the LOD Cloud.