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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...
FCSC
2011
413views VLSI» more  FCSC 2011»
12 years 11 months ago
Type-2 fuzzy description logic
Description logics (DLs) are widely employed in recent semantic web application systems. However, classical description logics are limited when dealing with imprecise concepts and ...
Ruixuan Li, Kunmei Wen, Xiwu Gu, Yuhua Li, Xiaolin...
RR
2007
Springer
14 years 1 months ago
Expressive Reasoning with Horn Rules and Fuzzy Description Logics
Abstract. This essay describes fuzzy CARIN, a knowledge representation language combining fuzzy description logics with Horn rules. Fuzzy CARIN integrates the management of fuzzy l...
Theofilos P. Mailis, Giorgos Stoilos, Giorgos B. S...
JAIR
2007
146views more  JAIR 2007»
13 years 7 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...
KCAP
2003
ACM
14 years 23 days ago
Modularisation of domain ontologies implemented in description logics and related formalisms including OWL
Modularity is a key requirement for large ontologies in order to achieve re-use, maintainability, and evolution. Mechanisms for ‘normalisation’ to achieve analogous aims are s...
Alan L. Rector