1st Edition
NLP Application Natural Language Questions and SQL using Computational Linguistics
Applying Natural Language Processing (NLP) concepts to help humans in their daily life, this book discusses an automatic translation of an unstructured Natural Language Question (NLQ) into a Structured Query Language (SQL) statement. Using SQL as a Relational DataBase (RDB) interaction language, database administrators or general users with little to no SQL querying abilities are provided with all the knowledge necessary to perform queries on RDBs in an interactive manner.
Key Features:
- Includes extensive and illustrative examples to simplify the discussed concepts
- Discusses a novel, and yet simple, approach to NLP
- Introduces a lightweight NLQ into SQL translation approach through the use of RDB MetaTables as a Hash table
- Extensive literature review and thorough background information on every tool, concept and technique applied
Providing a unique approach to NLQ into SQL translation, as well as comprising disparate resources on NLP as a whole, this shortform book is of direct use to administrators and general users of databases.
1. Introduction
2. Background Study
3. Literature Review
4. Implementation Plan
5. Implementation User Case Scenario
6. Implementation testing and Performance Measurements
7. Implementation Results Discussion
8. Conclusion and Future Work
Appendix
References
Glossary
Biography
Ftoon Kedwan is a recognized expert and researcher in the field of Artificial Intelligence, Software Engineering, Big Data Analysis, Machine Learning, and Health Informatics. Dr. Kedwan is experienced in industry and academics and is affiliated with many recognized organizations and universities, such as Queen’s University, the Royal Military College of Canada (RMC), St. Francis Xavier University (StFX), the University of Prince Mugrin (UPM), and the Saudi National Guard Hospital.
