Automatic Building of an Ontology from a Corpus of Text Documents Using Data Mining Tools
In this paper we show a procedure to build automatically an ontology from a corpus of text documents without external help such as dictionaries or thesauri. The method proposed finds relevant concepts in the form of multi-words in the corpus and non-hierarchical relations between them in an unsuperv...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2012 |
| País: | México |
| Institución: | UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO |
| Repositorio: | Journal of Applied Research and Technology |
| Idioma: | español |
| OAI Identifier: | oai:ojs2.localhost:article/395 |
| Acceso en línea: | https://jart.icat.unam.mx/index.php/jart/article/view/395 |
| Access Level: | acceso abierto |
| Palabra clave: | Ontology learning Data Mining Machine Learning Apriori algorithm |
| Sumario: | In this paper we show a procedure to build automatically an ontology from a corpus of text documents without external help such as dictionaries or thesauri. The method proposed finds relevant concepts in the form of multi-words in the corpus and non-hierarchical relations between them in an unsupervised manner. |
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