Data query using short domain question in natural language
Rongrong Zhang, Qingtian Zeng, Sen Feng · 2010
This paper presents the application of understanding of short domain question in natural language to data query. A domain dictionary can be obtained through extracting schema of all tables and short text data from database by ODBC API. The word segmentation tool, IK Analyzer, which is extended with the obtained domain dictionary, is used to segment the short text questions. From the segmentation results, the keywords are extracted to obtain query target and query requirement of the question and to generate a SQL statement for data query. The method proposed in this paper can be applied to question-answering system based on database.