基于个性化本体的图像语义标注和检索

针对目前图像检索系统较难实现语义检索的问题，提出了一种新的以本体为核心的图像语义标注和检索模型。构建个性化本体描述图像语义，继而提取基于概念集的图像语义特征并利用本体中“Is-A”关系设计相似性度量方法最终实现语义扩展检索。其难点在于顶级本体向个性化本体进化，以及基于概念集和“Is-A”关系实现语义相似度量的方法。通过系统的初步实现与相关实验的验证，该模型的检索准确度可达88.6%，明显高于传统的基于关键字和基于通用本体的图像检索，实现了图像智能检索功能。

Personalized ontology-based semantic annotation and retrieval of image model

In order to solve the problem that it is difficult to implement semantic retrieval of image,a novel ontology-cored semantic annotation and retrieval model of image was proposed,which constructed a personalized ontology to describe image,extracted the image semantic features based on the concept set and used inter-relationship Is-A of ontology to measure the similarity between the images and query.The difficulty lies in the personalized evolution of the top ontology,as well as the semantic similarity measure...