Flexible or strict taxonomic organization ? Impact on culturally-specific knowledge transfer

Fumiko Kano Glückstad, Morten Mørup

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Abstrakt

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) [1], a method of constructing ontology based on strict principles and rules, and the Infinite Relational Model (IRM) [2], 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) [3] that maps culturally-specific concepts existing in two cultures in an effective and intuitive manner.

OriginalsprogEngelsk
TitelProceedings of the 10th Terminology and Knowledge Engineering Conference : New Frontiers in the Constructive Symbiosis of Terminology and Knowledge Engineering, TKE 2012
Publikationsdatodec. 2012
Sider65-80
ISBN (Trykt)9788469543337
StatusUdgivet - dec. 2012
Udgivet eksterntJa
Begivenhed10th Terminology and Knowledge Engineering Conference: New Frontiers in the Constructive Symbiosis of Terminology and Knowledge Engineering, TKE 2012 - Madrid, Spanien
Varighed: 19. jun. 201222. jun. 2012

Konference

Konference10th Terminology and Knowledge Engineering Conference: New Frontiers in the Constructive Symbiosis of Terminology and Knowledge Engineering, TKE 2012
LandSpanien
ByMadrid
Periode19/06/201222/06/2012
SponsorOntology Engineering Group

Fingeraftryk

Dyk ned i forskningsemnerne om 'Flexible or strict taxonomic organization ? Impact on culturally-specific knowledge transfer'. Sammen danner de et unikt fingeraftryk.

Citationsformater