Title :
Data query using short domain question in natural language
Author :
Zhang, Rongrong ; Zeng, Qingtian ; Feng, Sen
Author_Institution :
Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
Abstract :
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.
Keywords :
SQL; dictionaries; information retrieval systems; natural language processing; query processing; word processing; IK analyzer; ODBC API; SQL statement; data query; domain dictionary; natural language; query requirement; query target; question-answering system; short domain question; short text questions; word segmentation tool; Arrays; Books; Data mining; Databases; Dictionaries; Natural languages; Vocabulary;
Conference_Titel :
Web Society (SWS), 2010 IEEE 2nd Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6356-5
DOI :
10.1109/SWS.2010.5607428