An ontological model to help minerals recognition

Authors

  • Jimmy Rosales Faculty of Geological, Mining and Metallurgical Engineering, National University of Engineering. Lima, Peru.
  • Carlos Rojas L. Faculty of Geological, Mining and Metallurgical Engineering, National University of Engineering. Lima, Peru.
  • Fabricio Mansilla P. Faculty of Electrical and Electronic Engineering, National University of Engineering. Lima, Peru.
  • Joseps Andrade Ch. Faculty of Geological, Mining and Metallurgical Engineering, National University of Engineering. Lima, Peru.
  • José Castillo S. Department of Computer Science, University of Alcalá. Madrid, Spain

DOI:

https://doi.org/10.21754/tecnia.v26i2.60

Keywords:

Semantic Web, Ontologies, Mineral Recognition

Abstract

The present work is focused on the development of an Ontological model to help the recognition of sulfuric minerals. This ontology will be implemented following the recommended construction methods. The diverse properties of the minerals to be stored in Ontologies can be extracted by means of the semantic query language. Finally, this ontological model can be used in the future for the implementation of a portal built with Semantic Web tools, so that mineral property searches are faster and more accurate.

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References

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Published

2016-12-01

How to Cite

[1]
J. Rosales, C. Rojas L., F. Mansilla P., J. Andrade Ch., and J. Castillo S., “An ontological model to help minerals recognition”, TECNIA, vol. 26, no. 2, pp. 81–86, Dec. 2016.

Issue

Vol. 26 No. 2 (2016)

Section

Articles

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