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» Topological Reasoning and The Logic of Knowledge
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ML
2010
ACM
175views Machine Learning» more  ML 2010»
13 years 2 months ago
Concept learning in description logics using refinement operators
With the advent of the Semantic Web, description logics have become one of the most prominent paradigms for knowledge representation and reasoning. Progress in research and applica...
Jens Lehmann, Pascal Hitzler
DEXA
2007
Springer
131views Database» more  DEXA 2007»
14 years 1 months ago
Improving Semantic Query Answering
The retrieval problem is one of the main reasoning tasks for knowledge base systems. Given a knowledge base K and a concept C, the retrieval problem consists of finding all indivi...
Norbert Kottmann, Thomas Studer
IEE
2008
91views more  IEE 2008»
13 years 7 months ago
Story-driven approach to software evolution
: From a maintenance perspective, only software that is well understood can evolve in a controlled and high-quality manner. Software evolution itself is a knowledge-driven process ...
Juergen Rilling, Wen Jun Meng, René Witte, ...
AAAI
2008
13 years 10 months ago
Factored Models for Probabilistic Modal Logic
Modal logic represents knowledge that agents have about other agents' knowledge. Probabilistic modal logic further captures probabilistic beliefs about probabilistic beliefs....
Afsaneh Shirazi, Eyal Amir
SEMWEB
2009
Springer
14 years 2 months ago
An Algorithm for Learning with Probabilistic Description Logics
Probabilistic Description Logics are the basis of ontologies in the Semantic Web. Knowledge representation and reasoning for these logics have been extensively explored in the last...
José Eduardo Ochoa Luna, Fabio Gagliardi Co...