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» High Performance Reasoning with Very Large Knowledge Bases
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ISIPTA
1999
IEEE
116views Mathematics» more  ISIPTA 1999»
15 years 10 months ago
On the Distribution of Natural Probability Functions
The purpose of this note is to describe the underlying insights and results obtained by the authors, and others, in a series of papers aimed at modelling the distribution of `natu...
Jeff B. Paris, Paul N. Watton, George M. Wilmers
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 6 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
IROS
2007
IEEE
197views Robotics» more  IROS 2007»
16 years 13 days ago
Generic and systematic evaluation of haptic interfaces based on testbeds
— The purpose of evaluation procedures is to achieve both qualitative and quantitative statements on haptic rendering realism and performance. Since a haptic interface provides a...
Evren Samur, Fei Wang, Ulrich Spaelter, Hannes Ble...
KR
2010
Springer
15 years 11 months ago
Worst-Case Optimal Reasoning for the Horn-DL Fragments of OWL 1 and 2
Horn fragments of Description Logics (DLs) have gained popularity because they provide a beneficial trade-off between expressive power and computational complexity and, more spec...
Magdalena Ortiz, Sebastian Rudolph, Mantas Simkus
WISE
2005
Springer
15 years 11 months ago
OWLIM - A Pragmatic Semantic Repository for OWL
OWLIM is a high-performance Storage and Inference Layer (SAIL) for Sesame, which performs OWL DLP reasoning, based on forward-chaining of entilement rules. The reasoning and query ...
Atanas Kiryakov, Damyan Ognyanov, Dimitar Manov