MapReduce: simplified data processing on large clusters
Communications of the ACM - 50th anniversary issue: 1958 - 2008
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
Web Semantics: Science, Services and Agents on the World Wide Web
OWL reasoning with WebPIE: calculating the closure of 100 billion triples
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Distributed instance retrieval in EHQDDL+SHIQ representation framework
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
Very large scale OWL reasoning through distributed computation
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part II
Hi-index | 0.00 |
We propose an approach to scalable reasoning on description logic ontologies that is based on MapReduce. Our work is inspired by previous work that provided fast materialization of RDFS ontologies and proposed MapReduce for more expressive logics. We explain challenges imposed by higher expressivity that were not addressed before and describe how they can be solved.