DocumentCode :
3578804
Title :
Natural Language Interfaces to Database (NLIDB): Question handling and unit conversion
Author :
Reinaldha, Filbert ; Widagdo, Tricya E.
Author_Institution :
Inf. Eng., Inst. Teknol. Bandung, Bandung, Indonesia
fYear :
2014
Firstpage :
1
Lastpage :
6
Abstract :
Natural Language Interfaces to Database is a type of database interface that allows the user to access the data using natural language. Recent development used as the base of this paper was made by Wibisono in 2013. Wibisono developed a domain-independent NLIDB using Stanford Dependency Parser as a tool in processing user input. This paper presents a solution to two of Wibisono´s NLIDB problems, which are inability to process question-type queries and unit conversion. User input will first be identified, whether it is a question-type query or a directive-type query. Methods from Wibisono´s NLIDB are then modified in order to be able to process question-type query. Unit conversion is done using a library called JScience in two phases of the process, before the SQL is produced (if necessary), and before the data is shown to the user. The proposed system was tested and was able to process some questions that follow a pattern and also to convert data in measurement units and some currency units.
Keywords :
SQL; database management systems; grammars; natural language interfaces; query processing; question answering (information retrieval); software libraries; JScience library; SQL; Stanford dependency parser; Wibisono NLIDB; data access; directive-type query; domain-independent NLIDB; natural language interfaces to database; question handling; question-type queries processing; unit conversion; user input; Grammar; Measurement units; Natural languages; Ontologies; Relational databases; User interfaces; Stanford Dependency Parser; natural language interfaces to database; natural language query; question-type query; units;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data and Software Engineering (ICODSE), 2014 International Conference on
Print_ISBN :
978-1-4799-8175-5
Type :
conf
DOI :
10.1109/ICODSE.2014.7062663
Filename :
7062663
Link To Document :
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