Sunday 24th of September 2017
 

Using Chinese Natural Language Interfaces for Navigation in Mobile GIS


Jiangfan Feng and Nan Xu

The combination of \voice technology\ and \Mobile GIS\, has greatly improved the intelligent degree of mobile GIS. Recently, significant attention in the field of scientific research is turning to how to realize quick conversion between natural language and GIS commands. However, the current study mostly concentrates on rules of conversion between natural language sentences and GIS commands from the angle of artificial summary. From the perspective of intellectualization, this paper does a study of natural language understanding method of mobile voice GIS, which makes a conversion between natural language and GIS commands based on machine learning methods, reorganizes existing knowledge structure to acquire new knowledge for the purpose of identifying unrecognized sentence patterns. Our experimental results prove that the preliminary conversion mechanism between natural language and GIS commands could be formed on the basis of self-learning which based upon the current research results by utilizing BP algorithm based on artificial neural network.

Keywords: Mobile GIS, Natural language understanding, Machine learning, Algorithm

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ABOUT THE AUTHORS

Jiangfan Feng
He received his B.S. degree from Southwest Agricultural University, and his Ph.D. degree from Nanjing Normal University, in 2002 and 2007. He works as associate professor of Chongqing University of Posts and Telecommunications. His main research area include spatial information integration and multimedia geographical information system.

Nan Xu
She received the B.S in information management from ShiJiaZhuang Tiedao Univ. in 2009. She is currently working towards her M.S. in the Chongqing University of Posts and Telecommunications. Her current research interests include mobile GIS and multimedia geographical information system.


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