Scalable peer-to-peer-based RDF management

Authors:
Christoph Böhm;Daniel Hefenbrock;Felix Naumann
Affiliations:
Hasso Plattner Institute Potsdam, Germany;Microsoft Corp., Redmond, WA;Hasso Plattner Institute Potsdam, Germany
Venue:
Proceedings of the 8th International Conference on Semantic Systems
Year:
2012

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Abstract

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.