基于本体的图像语义检索模型

Ontology-based Semantic Image Retrieval Model

在分析目前基于语义的图像检索的局限性后,提出了运用本体论原理,结合MPEG-7的特征描述所构建的图像语义资源描述树来构建图像领域本体模型的方法.利用OWL强大的语义描述能力及自扩展机制来描述这个模型的组织结构,从而能够在模型的基础上建立有效的语义推理引擎,同时利用开发工具protégé实现了这个基于本体的图像语义检索模型,为今后模型在语义网络上的具体应用打下了良好的基础.

Based on the analysis of the current semantic-based image retrieval limitations, the proposed use of the ontological principles, combined with MPEG-7 to describe the characteristics of image by building a semantic description of the tree resources in the field of body image to build the ontology model. The powerful semantic self-description of OWL well as the ability to extend this model to describe the mechanism of the organizational structure are used to establish an effective semantic reasoning engine on the basis of this model, while the use of development tools to achieve this protégé Ontology-based semantic image retrieval model has laid a good foundation for the future Semantic Web model in the specific application.