Most relational databases are accessed and managed by a form of Structured Query Language (SQL). For new users, learning SQL takes time and can be complex. This project investigates using natural language as the initial input for searching a relational database. The natural language query is converted into one or more valid SQL queries which can be executed on a database. This system takes advantage of an ontology and an ontology-to-database mapping. Ontologies allow relationships between natural language, resulting in a deeper understanding. The ontology-to-database mapping aids in connecting ontology keywords directly with parts of the database schema.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Finelli, Thomas Michael
• Karita, Yo

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-121516-151427

Advisor

• Eltabakh, Mohamed Y.

Year

• 2016

Date created

• 2016-12-15

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright