Abstract
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.
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Hwang, M., Kong, H., Baek, S., Kim, P. (2007). A Method for Processing the Natural Language Query in Ontology-Based Image Retrieval System. In: Marchand-Maillet, S., Bruno, E., Nürnberger, A., Detyniecki, M. (eds) Adaptive Multimedia Retrieval: User, Context, and Feedback. AMR 2006. Lecture Notes in Computer Science, vol 4398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71545-0_1
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DOI: https://doi.org/10.1007/978-3-540-71545-0_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71544-3
Online ISBN: 978-3-540-71545-0
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