| Summary: | Semantic technology such as ontology provides the possible approach to narrow down the semantic gap issue in image retrieval between low-level visual features and high-level human semantic.The semantic gap occurs when there is a disagreement between the information that is extracted from visual data and the text description.In this paper, we applied ontology to bridge the semantic gap by developing a prototype multi-modality ontology image retrieval with the enhancement of retrieval mechanism by using the object properties filter.The results demonstrated that, based on precision measurement, our proposed approach delivered better results compared to the approach without using object properties filter.
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