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» Representation and Reasoning with Attributive Descriptions
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ML
2010
ACM
175views Machine Learning» more  ML 2010»
13 years 4 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
GIS
2009
ACM
14 years 4 months ago
A salience-based approach for the modeling of landscape descriptions
While conventional GIS maps have long been a privileged way for the integration and diffusion of geographical information, novel forms of representation and description of urban ...
Jean-Marie Le Yaouanc, Eric Saux, Christophe Clara...
DMIN
2009
136views Data Mining» more  DMIN 2009»
13 years 7 months ago
Evaluating Algorithms for Concept Description
When performing concept description, models need to be evaluated both on accuracy and comprehensibility. A comprehensible concept description model should present the most importan...
Cecilia Sönströd, Ulf Johansson, Tuve L&...
RSCTC
2000
Springer
197views Fuzzy Logic» more  RSCTC 2000»
14 years 1 months ago
Rough Set Approach to CBR
We discuss how Case Based Reasoning (CBR) (see e.g. [1], [4]) philosophy of adaptation of some known situations to new similar ones can be realized in rough set framework [5] for c...
Jan Wierzbicki
ER
2007
Springer
167views Database» more  ER 2007»
14 years 1 months ago
An Unified Dynamic Description Logic Model for Databases: Relational Data, Relational Operations and Queries
The paper presents an unified Description Logic (DL) model for databases. Describing database models using DLs is a fundamental problem in many areas because it turns databases to...
Guoshun Hao, Shilong Ma, Yuefei Sui, Jianghua Lv