ACoAR: a method for the automatic classification of annotated resources.
We propose a classification method that automatically classifies annotated resources under the concepts of a classification system represented by an ontology. We use two well known systems used to classify web pages, del.icio.us for the folksonomy information and DMOZ for an existing ontology, to validate the method. Results obtained provide a correct classification rate of resources of 78%, rising to 93% when using an adequate threshold.
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