This work compares methods for constructing feature-based ontologies that are supposed to be used for culturally-specific knowledge transfer. The methods to be compared are the Terminological Ontology (TO) , a method of constructing ontology based on strict principles and rules, and the Infinite Relational Model (IRM) , a novel unsupervised machine learning method that learns multi-dimensional relations among concepts and features from loosely structured datasets. These methods are combined with a novel cognitive model, the Bayesian Model of Generalization (BMG)  that maps culturally-specific concepts existing in two cultures in an effective and intuitive manner.
|Title of host publication||Proceedings of the 10th Terminology and Knowledge Engineering Conference (TKE 2012)|
|Publication status||Published - 2012|
|Event||10th Terminology and Knowledge Engineering Conference (TKE 2012) - Madrid, Spain|
Duration: 19 Jun 2012 → 22 Jun 2012
|Conference||10th Terminology and Knowledge Engineering Conference (TKE 2012)|
|Period||19/06/2012 → 22/06/2012|