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.

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), 7(2), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070238

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