摘要： 现有的照片管理系统缺乏自动语义推理和扩展功能。为此，提出一种基于本体的智能照片管理系统。该系统以FamilyAlbum本体模型为知识框架，对照片进行多源信息的语义标注，并利用SWRL规则对系统中现有的语义标注进行自动推理，从而扩展出新的语义信息，为照片的智能管理提供有效支持。通过OntoAlbum原型系统的实现，验证了该方法的有效性。
关键词:
数码照片管理,
本体,
语义,
SWRL规则,
智能检索
Abstract: 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.
Key words:
digital photo management,
ontology,
semantics,
SWRL rule,
intelligent retrieval
中图分类号:
柴艳妹, 夏天, 朱建明, 李海峰. 本体推理在智能照片管理系统中的应用[J]. 计算机工程, 2011, 37(12): 1-3.
CHAI Yan-Mei, JIA Tian, SHU Jian-Meng, LI Hai-Feng. Application of Ontology Inference in Intelligent Photo Management System[J]. Computer Engineering, 2011, 37(12): 1-3.