Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1597735.1597772 | K-CAP |
Keywords | Field | DocType |
annotated resource,existing ontology,classification system,web page,classification method,folksonomy information,adequate threshold,correct classification rate,automatic classification,semantic web,web pages,classification,ontologies | Library classification,Ontology (information science),Data mining,Ontology,Web page,Information retrieval,Computer science,Web query classification,Semantic Web,Folksonomy,Classification rate | Conference |
Citations | PageRank | References |
3 | 0.76 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| F. Echarte | 1 | 64 | 6.98 |
| José Javier Astrain | 2 | 84 | 18.39 |
| Alberto Córdoba | 3 | 65 | 10.60 |
| Jesús Villadangos | 4 | 14 | 3.65 |
| Aritz Labat | 5 | 4 | 1.12 |