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2007
Springer

Mapping Ontologies Elements using Features in a Latent Space

9 years 6 months ago
Mapping Ontologies Elements using Features in a Latent Space
This paper proposes a method for the mapping of ontologies that, in a greater extent than other approaches, discovers and exploits sets of latent features for approximating the intended meaning of ontology elements. This is done by applying the reverse generative process of the Latent Dirichlet Allocation model. Similarity between element pairs is computed by means of the Kullback-Leibler divergence measure. Experimental results show the potential of the method.
Vassilis Spiliopoulos, George A. Vouros, Vangelis
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where WEBI
Authors Vassilis Spiliopoulos, George A. Vouros, Vangelis Karkaletsis
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