Ontology-based Annotation and Retrieval Model for Image Semantic
Yang Wei-li · Jisuanji gongcheng · 2008
The increasingly huge volume of digital images stored in computer are characterized by implicit semantic,disconnected storage and inconvenient in retrieval,thus result in low efficiency in image using.This paper proposes the ImageQ which is an ontology-based annotation and retrieval model for image semantic.It features the layered and modular architecture and independent of the domain ontology,supports domain ontology evolution and several image retrieval methods in different depth of reasoning.The running results of a experimental system based on ImageQ show that the model well performed in image management and intelligent retrieval.