Query System Of Expressway Network Based On Natural Language Understanding

With the gradual increase highway construction, highway ring road network to bring a bit of inconvenience to people, that is easy to miss the exit toll stations, or do not know Zouna a more convenient way. To address the above problems, this article from the artificial intelligence field, based on natural language understanding in detail the highway road network information, to facilitate people in their daily lives highway travel route choice.Natural language understanding is an important branch of artificial intelligence. Primarily looking at how to use computers to understand and generate natural language. Natural language is the most used of human communication, the most convenient communication tool, using natural language communication with computers, so that the computer can understand people's natural language. And enables the computer to perform the corresponding action, which is a natural language understanding of the Institute is committed to achieve goals.This system is used C/C++written in natural language processing which uses a combination of rule-based and constrained natural language text processing technology, and knowledge of road network in the semantic role of the query system through to the end. In the lexical analysis phase, proposed a "combination of the field of road network query system," two-step segmentation method, the first based on common word dictionary segmentation generic word, and then road network query system based on segmentation of the remaining semantic dictionary words, the specific use of this design "Optimization algorithm for two-way matching word." Syntactic analysis phase, to the specific data model as an example, a detailed analysis of the objectives of the query phrases, conditions, phrase, phrase sequencing the composition of laws, and accordingly analyze the query grammar rules; right to understand the query, the first designed to store the results of the data structure in question, and then based on the understanding of the sentence form an intermediate result; Finally, the entity asking the connection path processing, and intermediate results to the transformation of SQL statements. Finally, according to road network query system knowledge representation method, intermediate results into a database query that the form and enter the results for the occupants to facilitate inquiries.