A method for processing the natural language query in ontology-based image retrieval system

Authors:
Myunggwon Hwang;Hyunjang Kong;Sunkyoung Baek;Pankoo Kim
Affiliations:
Dept. of Computer Science, Chosun University, Gwangju, Korea;Dept. of Computer Science, Chosun University, Gwangju, Korea;Dept. of Computer Science, Chosun University, Gwangju, Korea;Dept. of Computer Science, Chosun University, Gwangju, Korea
Venue:
AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
Year:
2006

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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.