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

Book Description

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.

Table of Contents

Part I: Rules Engines
Chapter 1: Which Rules Engine Is Best for Building Smart Applications?
Chapter 2: Steps to Port Rules Engines
Chapter 3: Issues Faced While Porting Rules Engines
Chapter 4: Comparison of Rules Engines for Mobile Platforms
Chapter 5: Requirements and  Challenges Faced in  Knowledge Application Development
Part II: SmartAppGen: Automatically Generate Knowledge Application from Structured Knowledge

Chapter 6: Design and  Implementation of SmartAppGen
Chapter 7: Architecture of SmartAppGen
Chapter 8: Example of Generating Knowledge Application from Knowledge
Chapter 9: AutoQuiz: Automatically Generate Quiz from Unstructured Knowledge
Chapter 10: iEmergency

Part III: Android Applications for Solving Real-Life Problems
Chapter 11: Assignments

中文：

书名：构建基于Android的智能应用：使用规则引擎、NLP和自动化框架

使用规则引擎、代码自动化框架和自然语言处理(NLP)等尖端技术构建智能应用程序。本书逐步介绍了如何将9个规则引擎(CLIPS、JRuleEngine、DTRules、Zilonis、TermWare、Roolie、OpenRules、JxBRE和JEOPS)移植到Android平台。您将了解如何使用每个规则引擎通过示例代码片段构建智能应用程序，以便立即开始编写智能应用程序。 构建基于Android的智能应用 还描述了其他流行的规则引擎(Drools、JLisa、Take和Jess)的移植问题。

这本书是关于如何从需求规范生成可工作的智能应用程序的逐步指南。最后向您展示了如何使用Stanford POS(词性)标记器NLP框架从非结构化知识生成智能应用程序。

你将学到什么

• 评估可用的规则引擎，以了解哪个规则引擎最适合用于构建智能应用程序
• Build smart applications using rules engines
• 使用NLP创建智能应用程序
• 根据需求规范自动生成智能应用程序

这本书是为谁写的

Android and web developers with some experience.

目录表

第一部分：规则引擎
第1章：哪个规则引擎最适合构建智能应用程序？
第2章：安装端口规则引擎的步骤
第3章：移植规则引擎时面临的问题
第四章：移动平台规则引擎比较
第五章：知识应用开发面临的要求和挑战
第二部分：SmartAppGen：从结构化知识自动生成知识应用

第六章：SmartAppGen的设计与实现
第七章：SmartAppGen的架构
第8章：从知识生成知识应用的实例
第9章：自动测验：从非结构化知识中自动生成测验
Chapter 10: iEmergency

第三部分：用于解决实际问题的Android应用程序
第11章：作业