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» Ontology Learning and Reasoning - Dealing with Uncertainty a...
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DLOG
2011
12 years 8 months ago
On the Problem of Weighted Max-DL-SAT and its Application to Image Labeling
Abstract. For a number of problems, such as ontology learning or image labeling, we need to handle uncertainty and inconsistencies in an appropriate way. Fuzzy and Probabilistic De...
Stefan Scheglmann, Carsten Saathoff, Steffen Staab
FOIS
2008
13 years 5 months ago
Cognitive Context and Arguments from Ontologies for Learning
The deployment of learning resources on the web by different experts has resulted in the accessibility of multiple viewpoints about the same topics. In this work we assume that lea...
Christiana Panayiotou, Brandon Bennett
KI
2007
Springer
13 years 4 months ago
Modeling Human-Level Intelligence by Integrated Cognition in a Hybrid Architecture
Various forms of reasoning, the profusion of knowledge, the gap between neuro-inspired approaches and conceptual representations, the problem of inconsistent data input, and the ma...
Kai-Uwe Kühnberger, Tonio Wandmacher, Angela ...
ESWS
2008
Springer
13 years 6 months ago
Pronto: A Non-monotonic Probabilistic Description Logic Reasoner
Abstract. The demonstration presents Pronto - a prototype of a nonmonotonic probabilistic reasoner for very expressive Description Logics. Pronto is built on top of the OWL DL reas...
Pavel Klinov
SEMWEB
2005
Springer
13 years 10 months ago
A Bayesian Network Approach to Ontology Mapping
This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling ...
Rong Pan, Zhongli Ding, Yang Yu, Yun Peng