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2010

Materializing Inferred and Uncertain Knowledge in RDF Datasets

9 years 5 months ago
Materializing Inferred and Uncertain Knowledge in RDF Datasets
There is a growing need for efficient and scalable semantic web queries that handle inference. There is also a growing interest in representing uncertainty in semantic web knowledge bases. In this paper, we present a bit vector schema specifically designed for RDF (Resource Description Framework) datasets. We propose a system for materializing and storing inferred knowledge using this schema. We show experimental results that demonstrate that our solution drastically improves the performance of inference queries. We also propose a solution for materializing uncertain information and probabilities using multiple bit vectors and thresholds.
James P. McGlothlin, Latifur R. Khan
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2010
Where AAAI
Authors James P. McGlothlin, Latifur R. Khan
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