NATURAL LANGUAGE INTERFACE TO DATABASE (NLIDB) FOR IMPLICIT TIME NOUNS
Accessing databases using Structured Query Language (SQL) queries is a complex language that not everyone can use. Therefore, it takes a way of accessing data in a database that is easier and more general. Accessing this data can be done using Natural Language Interface to Databases or NLIDB. Cur...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/78177 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Accessing databases using Structured Query Language (SQL) queries is a complex language
that not everyone can use. Therefore, it takes a way of accessing data in a database that is easier
and more general. Accessing this data can be done using Natural Language Interface to
Databases or NLIDB. Currently, the NLIDB system can translate Indonesian into SQL queries
containing temporal aspects developed by Poetra in 2019. However, due to the high complexity
of the Indonesian language this NLIDB system can only accept explicit time nouns and cannot
accept queries without temporal aspects. Therefore, an NLIDB system is needed that can accept
queries containing implicit time nouns and queries that do not contain temporal aspects.
The NLIDB system created can identify implicit time nouns using Regular Expression or
Regex. Once identified, the implicit time nouns are converted into explicit time nouns that
match the time reference in the context of the query given by the user. With the development
done, the NLIDB system can translate all categories of implicit time nouns derived from the
analysis results and display the SQL query results obtained. |
|---|