Buch, Englisch, 176 Seiten, Format (B × H): 140 mm x 216 mm, Gewicht: 232 g
Natural Language Questions and SQL using Computational Linguistics
Buch, Englisch, 176 Seiten, Format (B × H): 140 mm x 216 mm, Gewicht: 232 g
ISBN: 978-1-032-53837-2
Verlag: CRC Press
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.
Zielgruppe
Further/Vocational Education, General, Postgraduate, Professional Practice & Development, Professional Reference, and Professional Training
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Geisteswissenschaften Sprachwissenschaft Sprachwissenschaften
- Geisteswissenschaften Sprachwissenschaft Historische & Vergleichende Sprachwissenschaft, Sprachtypologie
- Geisteswissenschaften Sprachwissenschaft Semantik & Pragmatik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
Weitere Infos & Material
Preface. 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 1. Appendix 2. Appendix 3. Appendix 4. Appendix 5. Appendix 6. Appendix 7. Appendix 8. Appendix 9. Glossary. References. Index.