SPIDER : A System for Scalable, Parallel / Distributed Evaluation of large-scale RDF Data

This project aims at processing large-scale RDF data. In this project, we developed scale RDF processing method using MapReduce that is a distributed processing framework and storing techniques for large RDF data sets. This project was demonstrated in the 18th ACM Conference on Information and Knowledge Management (CIKM) in November 2009.

Features:

• Extensible Storage for web-scale RDF Data
• Scalable RDF Query Processor using MapReduce
• Support to import for large-scale RDF data
• Support to some of the SPARQL features
• Based on Hbase and Hadoop