Ibis: a flexible and efficient Java-based Grid programming environment: Research Articles
Concurrency and Computation: Practice & Experience - 2002 ACM Java Grande–ISCOPE Conference Part II
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
User-friendly and reliable grid computing based on imperfect middleware
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Resource tracking in parallel and distributed applications
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
Parallel Inferencing for OWL Knowledge Bases
ICPP '08 Proceedings of the 2008 37th International Conference on Parallel Processing
IEEE Intelligent Systems
Distributed Resolution for Expressive Ontology Networks
RR '09 Proceedings of the 3rd International Conference on Web Reasoning and Rule Systems
Scalable Distributed Reasoning Using MapReduce
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Parallel Materialization of the Finite RDFS Closure for Hundreds of Millions of Triples
ISWC '09 Proceedings of the 8th International Semantic Web Conference
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The current state of the art regarding scalable reasoning consists of programs that run on a single machine. When the amount of data is too large, or the logic is too complex, the computational resources of a single machine are not enough. We propose a distributed approach that overcomes these limitations and we sketch a research methodology. A distributed approach is challenging because of the skew in data distribution and the difficulty in partitioning Semantic Web data. We present initial results which are promising and suggest that the approach may be successful.