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» Representation and Reasoning with Attributive Descriptions
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SEMWEB
2007
Springer
14 years 1 months ago
Extending Fuzzy Description Logics with a Possibilistic Layer
Classical ontologies are not suitable to represent imprecise nor uncertain pieces of information. As a solution we will combine fuzzy Description Logics with a possibilistic layer....
Fernando Bobillo, Miguel Delgado, Juan Góme...
SEMWEB
2009
Springer
14 years 1 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...
IUI
2006
ACM
14 years 1 months ago
Interactive learning of structural shape descriptions from automatically generated near-miss examples
Sketch interfaces provide more natural interaction than the traditional mouse and palette tool, but can be time consuming to build if they have to be built anew for each new domai...
Tracy Hammond, Randall Davis
DLOG
2011
12 years 11 months ago
Local Closed World Semantics: Keep it simple, stupid!
A combination of open and closed-world reasoning (usually called local closed world reasoning) is a desirable capability of knowledge representation formalisms for Semantic Web app...
Adila Alfa Krisnadhi, Kunal Sengupta, Pascal Hitzl...
AIR
2005
119views more  AIR 2005»
13 years 7 months ago
An Assessment of Case-Based Reasoning for Spam Filtering
Because of the changing nature of spam, a spam filtering system that uses machine learning will need to be dynamic. This suggests that a case-based (memory-based) approach may work...
Sarah Jane Delany, Padraig Cunningham, Lorcan Coyl...