An approach to the Optimization of menu-based Natural Language Interfaces to Databases
Natural language interfaces to databases (NLIDB) facilitate the
user to state query to database in natural language. NLIDB then
interprets the natural language query into Structured Query
Language (SQL) to perform action on target database. Menubased
NLIDB provides restricted set of elements on screen that
are utilized to build natural language query. The latest menubased
NLIDB’s use WYSIWYM interfaces that focus on
automatic formation of popup menus relevant to typed word on
editor. The automatic functionality has made the NLIDB more
complex with heavy resource requirement to load and execute
multiple processes simultaneously. This paper proposes an
optimization approach to efficiently use system memory by
menu-based NLIDB. It suggests the order of loading and
unloading processes in memory at right time. Finally, proposed
approach is evaluated on a real dataset. The application following
this approach runs efficiently even on low resources system.
Keywords: Natural Language Interfaces to Databases, Menubased Interface, WYSIWYM, Resource Optimization, Memory Optimization
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