Build Android-Based Smart Applications

1. Front Matter

   Pages i-xv

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2. Rules Engines

   1. Front Matter

      Pages 1-1

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   2. Which Rules Engine Is Best for Building Smart Applications?

      • Chinmoy Mukherjee

      Pages 3-14

   3. Steps to Port Rules Engines

      • Chinmoy Mukherjee

      Pages 15-50

   4. Issues Faced While Porting Rules Engines

      • Chinmoy Mukherjee

      Pages 51-53

   5. Comparison of Rules Engines for Mobile Platforms

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      Pages 55-56

   6. Requirements and Challenges Faced in Knowledge Application Development

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      Pages 57-59

3. SmartAppGen: Automatically Generate Knowledge Application from Structured Knowledge

   1. Front Matter

      Pages 61-61

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   2. Design and Implementation of SmartAppGen

      • Chinmoy Mukherjee

      Pages 63-63

   3. Architecture of SmartAppGen

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      Pages 65-69

   4. Example of Generating Knowledge Application from Knowledge

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      Pages 71-89

   5. AutoQuiz: Automatically Generate Quiz from Unstructured Knowledge

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      Pages 91-102

   6. iEmergency

      • Chinmoy Mukherjee

      Pages 103-114

4. Android Applications for Solving Real-Life Problems

   1. Front Matter

      Pages 115-115

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   2. Assignments

      • Chinmoy Mukherjee

      Pages 117-125

5. Back Matter

   Pages 127-133

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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.

• Rule Engines
• NLP
• Smart Applications
• automation frameworks
• Android
• Code Snippet
• Android Layout
• CLIPS Rule

• Bangalore, India

  Chinmoy Mukherjee

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.).

Policies and ethics