The Dynamic Linked Data Observatory

The Dynamic Linked Data Observatory is a framework to monitor Linked Data over an extended period of time. The core goal of our work is to collect frequent, continuous snapshots of a subset of the Web of Data that is interesting for further study and experimentation, with an aim to capture raw data about the dynamics of Linked Data. The resulting corpora will be made openly and continuously available to the Linked Data research community.


Finally the whole dataset again in one place :-)


The newest crawl dumps should be available for download roughly right after they got crawled.


Tobias Käfer, Alexandra Wins, Maribel Acosta.
"Modelling and Analysing Dynamic Linked Data using RDF and SPARQL". Proceedings of the 4th International Workshop on Dataset PROFIling and fEderated Search for Web Data (PROFILES) at the 16th International Semantic Web Conference (ISWC), Vienna, Austria, 21–25 October, 2017. Best Paper Award of the workshop.

Tobias Käfer, Ahmed Abdelrahman, Jürgen Umbrich, Patrick O'Byrne, Aidan Hogan.
"Observing Linked Data Dynamics". In the Proceedings of the 10th Extended Semantic Web Conference (ESWC 2013), Montpellier, France, 26–30 May, 2013. Our corresponding poster won the Best Poster Award.

Tobias Käfer, Jürgen Umbrich, Aidan Hogan and Axel Polleres,
"Towards a Dynamic Linked Data Observatory", In the Proceedings of the Linked Data on the Web WWW2012 Workshop (LDOW 2012), Lyon, France, 16 April, 2012. [pdf]

Team & Contact

The following people are actively involved in the project: Alumni: Please feel free to contact any one of them or use the respective google group.