國立高雄大學圖資館 |

Language: English

Back

Build based smart applicationsusing ...

Mukherjee, Chinmoy.

Build based smart applicationsusing rules engines, NLP and automation frameworks /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Build based smart applicationsby Chinmoy Mukherjee.
Reminder of title:	using rules engines, NLP and automation frameworks /
Author:	Mukherjee, Chinmoy.
Published:	Berkeley, CA :Apress :2018.
Description:	xv, 133 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Application softwareDevelopment.
Online resource:	http://dx.doi.org/10.1007/978-1-4842-3327-6
ISBN:	9781484233276$q(electronic bk.)

Build based smart applicationsusing rules engines, NLP and automation frameworks /
Mukherjee, Chinmoy.

Build based smart applicationsusing rules engines, NLP and automation frameworks /[electronic resource] :by Chinmoy Mukherjee. - Berkeley, CA :Apress :2018. - xv, 133 p. :ill., digital ;24 cm.

1. Introduction -- 2. Rules Engines -- 3. Knowledge Management Applications -- 4. Android applications for solving real life problems.

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 Applicationsalso 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. You will: 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.

ISBN: 9781484233276$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-3327-6doiSubjects--Uniform Titles:

Android (Electronic resource)
Subjects--Topical Terms:

189413
Application software
--Development.

LC Class. No.: QA76.76.A65

Dewey Class. No.: 005.1

Build based smart applicationsusing rules engines, NLP and automation frameworks /
LDR:02246nmm a2200289 a 4500 001 530232
003 DE-He213
005 20180817133456.0
006 m d
007 cr nn 008maaau
008 181107s2018 cau s 0 eng d
020 $a 9781484233276$q(electronic bk.)
020 $a 9781484233269$q(paper)
024 7 $a 10.1007/978-1-4842-3327-6 $2 doi
035 $a 978-1-4842-3327-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.76.A65
082 0 4 $a 005.1 $2 23
090 $a QA76.76.A65 $b M953 2018
100 1 $a Mukherjee, Chinmoy. $3 803949
245 1 0 $a Build based smart applications $h [electronic resource] : $b using rules engines, NLP and automation frameworks / $c by Chinmoy Mukherjee.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2018.
300 $a xv, 133 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Introduction -- 2. Rules Engines -- 3. Knowledge Management Applications -- 4. Android applications for solving real life problems.
520 $a 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 Applicationsalso 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. You will: 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.
630 0 0 $a Android (Electronic resource) $3 376300
650 0 $a Application software $x Development. $3 189413
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Mobile Computing. $3 763350
650 2 4 $a Open Source. $3 758930
650 2 4 $a Computing Methodologies. $3 274528
650 2 4 $a Java. $3 763312
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-3327-6
950 $a Professional and Applied Computing (Springer-12059)