Scalable peer-to-peer-based RDF management

Christoph Böhm, Daniel Hefenbrock, Felix Naumann
2012 Proceedings of the 8th International Conference on Semantic Systems - I-SEMANTICS '12  
Handling web-scale RDF data requires sophisticated data management that scales easily and integrates seamlessly into existing analysis workflows. We present Hdrs-a scalable storage infrastructure that enables online-analysis of very large RDF data sets. Hdrs combines state-of-the-art data management techniques to organize triples in indexes that are sharded and stored in a peer-to-peer system. The store is open source and integrates well with Hadoop MapReduce or any other client application.
doi:10.1145/2362499.2362523 dblp:conf/i-semantics/BohmHN12 fatcat:qysdhtkd6bbvpgif5ynsmspv5i