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» High Performance Reasoning with Very Large Knowledge Bases
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DLOG
2000
14 years 6 days ago
High Performance Reasoning with Very Large Knowledge Bases
In this contribution we present an empirical analysis of the performance of the ALCNHR+ description logic system RACE applied to TBoxes with a very large number of primitive conce...
Volker Haarslev, Ralf Möller
IJCAI
2001
14 years 7 days ago
High Performance Reasoning with Very Large Knowledge Bases: A Practical Case Study
We present an empirical analysis of optimization techniques devised to speed up the so-called TBox classification supported by description logic systems which have to deal with ve...
Volker Haarslev, Ralf Möller
JAIR
2007
146views more  JAIR 2007»
13 years 10 months ago
Reasoning with Very Expressive Fuzzy Description Logics
It is widely recognized today that the management of imprecision and vagueness will yield more intelligent and realistic knowledge-based applications. Description Logics (DLs) are...
Giorgos Stoilos, Giorgos B. Stamou, Jeff Z. Pan, V...
ATAL
1997
Springer
14 years 3 months ago
Approximate Reasoning about Combined Knowledge
Abstract. Just as cooperation in multi-agent systems is a central issue for solving complex tasks, so too is the ability for an intelligent agent to reason about combined knowledge...
Frédéric Koriche
SEMWEB
2010
Springer
13 years 8 months ago
Optimize First, Buy Later: Analyzing Metrics to Ramp-Up Very Large Knowledge Bases
As knowledge bases move into the landscape of larger ontologies and have terabytes of related data, we must work on optimizing the performance of our tools. We are easily tempted t...
Paea LePendu, Natalya Fridman Noy, Clement Jonquet...