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.
Highlights
In this paper, we treat modeling problems and representation of road scenes content using knowledge engineering methods
We seek to define and organize the knowledge of a field of study, through ontologies, which will allow us to define the domain concepts and relations between them
This paper presented an approach to object recognition and domain ontology creation from taxonomic tree
Summary
We treat modeling problems and representation of road scenes content using knowledge engineering methods. The objective of this research is to propose a methodology for automatic generation of a taxonomic tree as a basis for visual objects ontology building This generation uses an assessment that can select each level of the tree in accordance with the criteria of the categories accuracy and the recognition time. It is based on the characterization of objects by the visual attributes and organizing them hierarchically by techniques of non-supervised learning. Each visual concept of this ontology is associated with descriptors, the semantic gap is reduced to the expert who will intervene to add relations between concepts and place the objects in their membership classes All this process will facilitate the decision making in practice.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Computer Science and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
