Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Website thesai.org
Follow Us
Contact Info
Follow Us
Research Article | Open Access |

A Simple Strategy to Start Domain Ontology from Scratch

Author 1: Ivo Wolff Gersberg Author 2: Nelson F. F. Ebecken
International Journal of Advanced Computer Science and Applications (IJACSA) · Special Issue on Natural Language Processing 2014 · Published 2014

DOI: 10.14569/SpecialIssue.2014.040107

Abstract

Aiming the usage of Domain Ontology as an educational tool for neophyte students and focusing in a fast and easy way to start Domain Ontology from scratch, the semantics are set aside to identify contexts of concepts (terms) to build the ontology. Text Mining, Link Analysis and Graph Analysis create an abstract rough sketch of interactions between terms. This first rough sketch is presented to the expert providing insights into and inspires him to inform or communicate knowledge, through assertive sentences. Those assertive sentences subsidize the creation of the ontology. A web prototype tool to visualize the ontology and retrieve book contents is also presented.

Keywords

How to Cite this Article

Gersberg, I. W., & Ebecken, N. F. F. (2014). A Simple Strategy to Start Domain Ontology from Scratch. International Journal of Advanced Computer Science and Applications, 4(1). https://doi.org/10.14569/SpecialIssue.2014.040107

Gersberg, Ivo Wolff, and Nelson F. F. Ebecken. "A Simple Strategy to Start Domain Ontology from Scratch." International Journal of Advanced Computer Science and Applications, vol. 4, no. 1, 2014, https://doi.org/10.14569/SpecialIssue.2014.040107.

@article{Gersberg2014,
  title     = {A Simple Strategy to Start Domain Ontology from Scratch},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {4},
  number    = {1},
  year      = {2014},
  publisher = {The Science and Information Organization},
  note      = {Special Issue on Natural Language Processing 2014},
  author    = {Ivo Wolff Gersberg and Nelson F. F. Ebecken},
  doi       = {10.14569/SpecialIssue.2014.040107},
  url       = {https://doi.org/10.14569/SpecialIssue.2014.040107}
}

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.