Build Android-Based Smart Applications: Using Rules Engines, NLP and Automation Frameworks

Mukherjee, Chinmoy

ISBN 10: 1484233263 / ISBN 13: 9781484233269

Edité par Apress, Incorporated, 2017

A propos de cet article

PRINT ON DEMAND pp. 98.

N° de réf. du vendeur 18375529271

Détails bibliographiques

• Titre: Build Android-Based Smart Applications: Using Rules Engines, NLP and Automation Frameworks
• Éditeur: Apress, Incorporated
• Date de parution: 2017
• Langue: anglais
• ISBN à 10 chiffres: 1484233263
• ISBN à 13 chiffres: 9781484233269
• Reliure: Couverture souple
• État de l'article: New

A propos de ce titre

Synopsis

Build smart applications using cutting-edge technologies such as rules engines, code automation frameworks, and natural language processing (NLP). This book provides step-by-step instructions on how to port nine rules engines (CLIPS, JRuleEngine, DTRules, Zilonis, TermWare, Roolie, OpenRules, JxBRE, and JEOPS) to the Android platform. You'll learn how to use each rules engine to build a smart application with sample code snippets so that you can get started with programming smart applications immediately. Build Android-Based Smart Applications also describes porting issues with other popular rules engines (Drools, JLisa, Take, and Jess).
This book is a step-by-step guide on how to generate a working smart application from requirement specifications. It concludes by showing you how to generate a smart application from unstructured knowledge using the Stanford POS (Part of Speech) tagger NLP framework.
What You Will Learn

• Evaluate the available rules engines to see which rules engine is best to use for building smart applications
  
• Build smart applications using rules engines
  
• Create a smart application using NLP
  
• Automatically generate smart application from requirement specifications

Who This Book Is For
Android and web developers with some experience.

À propos de l?auteur

Chinmoy Mukherjee has been in software industry for past 17 years in India, Canada, Australia and in the USA. He has written more than 100k lines of code, while working for several companies (Motorola, HP, Infineon, Cisco, etc.).