An Improved Storage and Inference Method for Ontology Based Remote Sensing Interpretation System

Authors:
Xiaoguang Jia;Zhengwei Lin;Ning Huang
Affiliations:
Dept. of Computer Science,;Dept. of Computer Science,;Dept. of Reliability Engineering, Beihang University, Beijing, China 100191
Venue:
WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
Year:
2009

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Abstract

As the incredibly expanding volumes of remote sensing archives, and the number of objects necessary to identify in remote sensing pictures increasing, the conventional process of remote sensing interpretation is becoming more and more inefficient, and it seems impossible to finish all interpretation tasks in time. This paper applies ontology techniques to this process. It uses ontology to describe the domain knowledge, and brings forward a new hybrid ontology mapping model and an effective inference method without using any ontology inference engine. Finally it constructs an interpretation system, using which the work efficiency can be improved greatly.