In Managing the Evolution and Preservation of the Data Web - First Diachron Workshop at ESWC 2015, pages 34–49, Portorož, Slovenia, May, 2015. Paper abstract bibtex
The Linked Data paradigm has enabled a huge shared infrastructure for connecting data from different domains which can be browsed and queried together as a huge knowledge base. However, structured interlinked datasets in this Web of data are not static but continuously evolving, which suggests the investigation of approaches to preserve Linked data across time. In this article, we survey and analyse current techniques addressing the problem of archiving different versions of semantic Web data, with a focus on their space efficiency, the retrieval functionality they serve, and the performance of such operations.