@inproceedings{90dbbf97fe044db2af959c4de8972ab8,
title = "A web observatory for the machine processability of structured data on the web",
abstract = "General human intelligence is needed in order to process con- tent on theWeb of Documents. On theWeb of Data (WoD), content is intended to be machine-processable as well. But the extent to which a machine is able to navigate, access, and process the WoD has not been extensively researched. We present LOD Observer, a web observatory that studies the Web from a machine processor's point of view. We do this by reformulating the five star model of Linked Open Data (LOD) publishing in quantifiable terms. Secondly, we built an infrastructure that allows the model's criteria to be quantified over existing datasets. Thirdly, we analyze a sig- nificant snapshot of the WoD using this infrastructure and discuss the main problems a machine processor encounters.",
keywords = "Linked open data, Machine processing, Web observatory, Web of data",
author = "Wouter Beek and Paul Groth and Stefan Schlobach and Rinke Hoekstra",
year = "2014",
doi = "10.1145/2615569.2615654",
language = "Ingl{\'e}s",
isbn = "9781450326223",
series = "WebSci 2014 - Proceedings of the 2014 ACM Web Science Conference",
publisher = "Association for Computing Machinery",
pages = "249--250",
booktitle = "WebSci 2014 - Proceedings of the 2014 ACM Web Science Conference",
note = "6th ACM Web Science Conference, WebSci 2014 ; Conference date: 23-06-2014 Through 26-06-2014",
}