Intelligent knowledge query answering system based on short message

Short message service (SMS) is a mechanism of delivery of short messages over the mobile networks. Because of its popularity, SMS is now a ubiquitous way of communicating. In order to improve its efficiency and intelligence, this paper examines methods for analyzing message entry techniques by using a query against a knowledge base which has been acquired background information. People can also use SMS to perform reasoning or discover implicit knowledge. This study proposes application and architecture of intelligent knowledge query answering system based on SMS. Short message processing module and knowledge query module are two main parts of this system. The first module includes correlative AT command & PDU data format analysis and processing flow of short message. The second module analyses query sentence by using natural language understanding technology which tries to understand query sentence by using a conceptual network model to organize knowledge. Conceptual network is adopted to systematically organize relationships among concepts and represent different features of each concept so as to substantially improve people's ability to get specific information in response to specific needs. Furthermore, the paper discusses PDU coding format and question analysis in detail.