基于本体和SWRL的智能数字照片管理系统

Yanmei Chai, Tian Xia, Jian-ming Zhu, Haifeng Li
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引用次数: 8

摘要

个人电脑中数码照片的数量呈爆炸式增长。现有的照片标注和管理系统存在一些问题(其中一些问题相当严重),这些问题在全文一开始就进行了讨论。针对这些问题,本文提出了基于本体的解决方案。首先,构建家庭相册本体,对领域知识进行组织,并提供形式化、显式和概念性的标注。然后通过自动提取文件标题、照片描述文本、EXIF元数据和图像视觉特征等语义概念,对数字照片的初步语义信息进行标注。此外,还编写和执行了SWRL(语义Web规则语言)规则,以扩展先前的语义注释并支持知识推理。最后,开发了一个Onto Album原型系统来验证所提方法的有效性。实验结果表明,该方法非常有效,具有广阔的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Digital Photo Management System Using Ontology and SWRL
The number of digital photos in the personal computer is exploding. Existing photo annotation and management systems suffer from some problems (some among them are quite serious), which discussed at the beginning of the full paper. Aiming at these problems, this paper proposed a solution based on ontology. First of all, the Family Album ontology is built to organize the domain knowledge and provide formal, explicit and conceptual annotation. Then we annotate preliminary semantic information for digital photos by automated extraction of semantic concepts from file titles, photo description texts, EXIF metadata and visual features of images etc.. Furthermore, the SWRL (Semantic Web Rule Language) rules are written and executed to extend previous semantic annotations and support knowledge inference. Finally, an Onto Album prototype system is developed for verifying the validity of the proposed approach. Experimental results show that the proposed approach is very effective and promising.
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