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A Method for Processing the Natural Language Query in Ontology-Based Image Retrieval System

机译:基于本体的图像检索系统中自然语言查询的处理方法

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There is a large amount of image data on the web because of the development of many image acquisition devices nowadays. Hence, many researchers have been focusing on the study how to manage and retrieve these huge images efficiently. In this paper, we use two kinds of ontologies in the image retrieval system for processing the natural language query. We use the domain ontology for describing objects in images and we newly build the spatial ontology for representing the relations between these objects. And then, we suggest the method for processing the user query formatted by the natural language in the ontology-based image retrieval system. Based on our study, we got the conclusion that the natural language query processing is the very important part for improving the efficiency of the image retrieval system.
机译:由于当今许多图像采集设备的发展,网络上存在大量图像数据。因此,许多研究人员一直致力于研究如何有效地管理和检索这些巨大的图像。在本文中,我们在图像检索系统中使用两种本体来处理自然语言查询。我们使用领域本体来描述图像中的对象,并且我们新构建了空间本体来表示这些对象之间的关系。然后,我们提出了一种在基于本体的图像检索系统中处理自然语言格式化的用户查询的方法。根据我们的研究,得出结论,自然语言查询处理是提高图像检索系统效率的重要组成部分。

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