Abstract: The Ontology-based image feature database is built through feature extraction（including color，shape，and texture feature of image，etc.） and mapping feature to ontology.Taking the Chinese affective picture system as the training sample，the association between the image feature and the affective semantics of image is learned through machine learning，then these association rules are represented by SWRL（Semantic Web Rule Language），thus the image affective semantics mapping rule database can be built.The SWRL-based rules and ontology-based image features are used altogether in the affective semantic reasoning engine to deduce the affection of image，in this way the affective semantics of image can be recognized.

摘要： 抽取图像颜色、形状、纹理特征，通过本体映射，建立本体表示的图像情感特征库。以中国情感图片系统作为训练样本，挖掘图像特征与情感之间的关联关系，并通过语义网规则语言SWRL（Semantic Web Rule Language）表示关联规则，建立情感映射规则库。情感推理引擎使用情感映射规则对图像特征进行推理，达到识别图像情感语义的目的。