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

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 ma...

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Bibliographic Details
Published in:International journal of advanced computer science & applications 2016-01, Vol.7 (2)
Main Authors: fatimaezzahra, Mansouri, mohamed, Sadgal, abdelaziz, Elfazziki, loubna, Benchikhi
Format: Article
Language:English
Subjects:
Artificial intelligence
Clustering
Computer vision
Data structures
Domains
Geographic information systems
Information dissemination
Information systems
Knowledge bases (artificial intelligence)
Knowledge representation
Ontology
Taxonomy
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Summary: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.
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2016.070238