Simple Method  for Ontology Automatic Extraction from Documents

Andreia Dal Ponte Novelli; José Maria Parente de Oliveira

doi:10.14569/IJACSA.2012.031206

Research Article | Open Access |

Simple Method for Ontology Automatic Extraction from Documents

Author 1: Andreia Dal Ponte Novelli Author 2: José Maria Parente de Oliveira

International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 3, No. 12 · Published 2012 · Cited by 15

DOI: https://doi.org/10.14569/IJACSA.2012.031206

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Abstract

There are many situations where it is needed to represent and analyze the concepts that describe a document or a collection of documents. One of such situations is the information retrieval, which is becoming more complex by the growing number and variety of document types. One way to represent the concepts is through a formal structure using ontologies. Thus, this article presents a fast and simple method for automatic extraction of ontologies from documents or from a collections of documents that is independent of the document type and uses the junction of several theories and techniques, such as latent semantic for the extraction of initial concepts, Wordnet and similarity to obtain the correlation between the concepts.

Keywords

document ontology ontology creation ontology extraction concept representation.

How to Cite this Article

Novelli, A. D. P., & Oliveira, J. M. P. d. (2012). Simple Method for Ontology Automatic Extraction from Documents. International Journal of Advanced Computer Science and Applications, 3(12). https://doi.org/10.14569/IJACSA.2012.031206

Novelli, Andreia Dal Ponte, and José Maria Parente de Oliveira. "Simple Method for Ontology Automatic Extraction from Documents." International Journal of Advanced Computer Science and Applications, vol. 3, no. 12, 2012, https://doi.org/10.14569/IJACSA.2012.031206.

@article{Novelli2012,
  title     = {Simple Method  for Ontology Automatic Extraction from Documents},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {3},
  number    = {12},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Andreia Dal Ponte Novelli and José Maria Parente de Oliveira},
  doi       = {10.14569/IJACSA.2012.031206},
  url       = {https://doi.org/10.14569/IJACSA.2012.031206}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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