Using Chinese Natural Language Interfaces for Navigation in Mobile GIS

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.