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...
| Authors: | , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2012 |
| Country: | México |
| Institution: | UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO |
| Repository: | Journal of Applied Research and Technology |
| Language: | Spanish |
| OAI Identifier: | oai:ojs2.localhost:article/395 |
| Online Access: | https://jart.icat.unam.mx/index.php/jart/article/view/395 |
| Access Level: | Open access |
| Keyword: | Ontology learning Data Mining Machine Learning Apriori algorithm |
| Summary: | 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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