Abstract: The system consists of the following modules: natural language processing module, document database module, document metadata module, matching module and answer extraction module. The natural language processing module gets user's input Chinese query sentence and processes the sentence to obtain the corresponding deep syntactic structure. The document database module consists of a repository to store the documents about the knowledge of the application domains. The document metadata module is used to create the metadata for the entries stored in the document database. The matching module is used to compare the deep syntactic structure of the input query sentence with the metadata stored in the metadata module to obtain meaning-equivalent entries. The answer extraction module then extracts, according to the indices of the meaning-equivalent entries, the documents from the document database as the output for the user's request.