89 search results - page 3 / 18 » Hybrid Learning of Ontology Classes |
EKAW
2008
Springer
13 years 10 months ago
2008
Springer
Abstract. Dealing with heterogeneous ontologies by means of semantic mappings has become an important area of research and a number of systems for discovering mappings between onto...
ICDS
2010
IEEE
14 years 1 months ago
2010
IEEE
—Learning ontology from text is a challenge in knowledge engineering research and practice. Learning relations between concepts is even more difficult work. However, when conside...
DASFAA
2007
IEEE
14 years 2 months ago
2007
IEEE
Recently, several approaches and systems were proposed to store in the same database data and the ontologies describing their meanings. We call these databases, ontology-based data...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
HIS
2008
13 years 10 months ago
2008
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...