Automatic building of an ontology from a corpus of text documents using data mining tools

J. I. Toledo-Alvarado; A. Guzmán-Arenas; G. L. Martínez-Luna

doi:10.22201/icat.16656423.2012.10.3.395

Automatic building of an ontology from a corpus of text documents using data mining tools

J. I. Toledo-Alvarado, A. Guzmán-Arenas, G. L. Martínez-Luna

Centro de Investigación en Computación (CIC)

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	398-404
Number of pages	7
Journal	Journal of Applied Research and Technology
Volume	10
Issue number	3
DOIs	https://doi.org/10.22201/icat.16656423.2012.10.3.395
State	Published - Jun 2012

Keywords

Apriori algorithm
Data Mining
Machine Learning
Ontology learning

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10.22201/icat.16656423.2012.10.3.395

Cite this

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KW - Machine Learning

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Automatic building of an ontology from a corpus of text documents using data mining tools

Abstract

Keywords

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