Querying Archives of Dynamic Linked Open Data

This research project tackles the problem of archiving and querying semantic Web data.

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Efficient Representations of Archives

We work on optimal representations for archiving evolving linked data, minimizing inherent redundancy of archives.

Query Languages and Benchmarking

We investigate on specific query languages aimed at capturing the required expressiveness for these archives, and benchmarking systems to measure the performance of RDF archives.

Scalable RDF archiving systems

We research on compressed indexes of evolving linked data archives scaling up to large volumes of data while serving retrieval opperations without prior decompression.

Supported by the Austrian Science Fund (FWF): M1720- G11