一个充分利用标注语义的基于内容的图像检索框架

Proceedings of the 2006 ACM symposium on Applied computing Pub Date : 2006-04-23 DOI:10.1145/1141277.1141682

T. D. Noia, E. Sciascio, F. D. Cugno, E. Tinelli, F. Donini

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引用次数: 2

摘要

我们提出了一个基于语义的图像检索框架和应用。我们的方法在OWL-DL的子集中采用了两层本体结构。在核心本体中，只表示一般的空间关系，而领域本体则是特定于图像集合的。该方法允许基于语义的相关性排序和结果解释，通过利用描述逻辑中的标准和非标准推理来进行查询细化。

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A framework for content-based image retrieval fully exploiting the semantics of annotation

We present a framework and an application for semantic-based retrieval of images. Our approach adopts a two-level ontology structure in a subset of OWL-DL. In the core ontology only generic spatial relations are represented, while domain ontologies are specific for the image collection. The approach allows semantic-based relevence ranking and results explanation for query refinement, by exploiting standard and non-standard inferences in Description Logics.

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Proceedings of the 2006 ACM symposium on Applied computing

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