Application of Ontology Inference in Intelligent Photo Management System
Haifeng Li · Jisuanji gongcheng · 2011
Existed photo management systems fails to organize the semantic annotations of photo effectively,the information can not be reused.In order to overcome these shortcomings,an ontology-based approach is proposed for the digital photo management.The FamilyAlbum ontology is built to provide knowledge framework for the whole system.Based on the ontology,it also proposes an automatic annotation method extracting semantic conceptions from the multi-source information.The SWRL rules are written and executed to inference new semantic concepts for the ontology model.The inferences also extends the semantic annotations of photos in the system.It makes intelligent retrieval possible in the photo management system.The FamilyAlbum ontology is implemented in the OntoAlbum prototype system.Experiments on the OntoAlbum system show the approach is effective.