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Research Article | Open Access |

Towards Domain Ontology Creation Based on a Taxonomy Structure in Computer Vision

Author 1: Mansouri fatimaezzahra Author 2: Sadgal mohamed Author 3: Elfazziki abdelaziz Author 4: Benchikhi loubna
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 2 · Published 2016

DOI: https://doi.org/10.14569/IJACSA.2016.070238

Abstract

In computer vision to create a knowledge base usable by information systems, we need a data structure facilitating the information access. Artificial intelligence community uses the ontologies to structure and represent the domain knowledge. This information structure can be used as a database of many geographic information systems (GIS) or information systems treating real objects for example road scenes, besides it can be utilized by other systems. For this, we provide a process to create a taxonomy structure based on new hierarchical image clustering method. The hierarchical relation is based on visual object features and contributes to build domain ontology.

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How to Cite this Article

Mansouri fatimaezzahra, Sadgal mohamed, Elfazziki abdelaziz and Benchikhi loubna. "Towards Domain Ontology Creation Based on a Taxonomy Structure in Computer Vision". International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 7, No. 2, 2016. https://doi.org/10.14569/IJACSA.2016.070238

BibTeX

@article{fatimaezzahra2016,
  title     = {Towards Domain Ontology Creation Based on a Taxonomy Structure in Computer Vision},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {2},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Mansouri fatimaezzahra and Sadgal mohamed and Elfazziki abdelaziz and Benchikhi loubna},
  doi       = {10.14569/IJACSA.2016.070238},
  url       = {https://doi.org/10.14569/IJACSA.2016.070238}
}

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