Chatbot development in data representation for diabetes education

This thesis deals with an investigation towards developing an application package named E-CARE to function as Computer Aided Education (CAE) in the domain of Diabetes. E-CARE contains two respective applications, 1) E-CARE multimedia content, and 2) SQL-based chatbot named ViDi (acronyms for Virtual...

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Main Author:	Abbas Saliimi, Lokman
Format:	Thesis
Language:	English
Published:	2011
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/17818/1/Chatbot%20development%20in%20data%20representation%20for%20diabetes%20education.pdf
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id	my-ump-ir.17818
record_format	uketd_dc
spelling	my-ump-ir.178182023-11-01T04:30:28Z Chatbot development in data representation for diabetes education 2011-05 Abbas Saliimi, Lokman QA76 Computer software This thesis deals with an investigation towards developing an application package named E-CARE to function as Computer Aided Education (CAE) in the domain of Diabetes. E-CARE contains two respective applications, 1) E-CARE multimedia content, and 2) SQL-based chatbot named ViDi (acronyms for Virtual Diabetes physician). Alongside the development of ViDi chatbot, several new approaches (algorithms and techniques) had been proposed. Those are 1) Vpath, 2) Sequence Words Deleted (SWD), 3) Extension and Prerequisite, 4) One-Match and All-Match Categories (OMAMC), 5) Synonyms and Root-words and lastly 6) General Words Percentage (GWP). Vpath and Extension and Prerequisite are techniques that enable relations between responses (previous and next responses). SWD and OMAMC are proposed to enhance the process of keywords/pattern matching for chatbot. Synonyms and Root-words are proposed as an additional component for chatbot that deals with Malay Language (Bahasa Malaysia), and GWP is proposed to become a supplementary component for the process of selecting final response in case where matching process is producing multiple responses. Measurement has being done by comparing the results/outcomes of proposed approaches towards previously developed chatbots (focus on A.L.I.C.E.’ as mostly referred chatbot and VPbot as SQL-based chatbot in medical domain). Significance of results is represent by several comparison tables on issues related to each proposed approaches’ purpose. As for overall research investigation, results for each area in which E-CARE has contributed seems adequate. Multimedia content component help in the development of precise CAE in regard to specific requirements gathered from previous prerequisite study, while ViDi component contributed to several areas within the processes architecture surrounding chatbot technology. 2011-05 Thesis http://umpir.ump.edu.my/id/eprint/17818/ http://umpir.ump.edu.my/id/eprint/17818/1/Chatbot%20development%20in%20data%20representation%20for%20diabetes%20education.pdf pdf en public masters Universiti Malaysia Pahang Faculty of Computer Systems & Software Engineering Mohamad Zain, Jasni
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
collection	UMPSA Institutional Repository
language	English
advisor	Mohamad Zain, Jasni
topic	QA76 Computer software
spellingShingle	QA76 Computer software Abbas Saliimi, Lokman Chatbot development in data representation for diabetes education
description	This thesis deals with an investigation towards developing an application package named E-CARE to function as Computer Aided Education (CAE) in the domain of Diabetes. E-CARE contains two respective applications, 1) E-CARE multimedia content, and 2) SQL-based chatbot named ViDi (acronyms for Virtual Diabetes physician). Alongside the development of ViDi chatbot, several new approaches (algorithms and techniques) had been proposed. Those are 1) Vpath, 2) Sequence Words Deleted (SWD), 3) Extension and Prerequisite, 4) One-Match and All-Match Categories (OMAMC), 5) Synonyms and Root-words and lastly 6) General Words Percentage (GWP). Vpath and Extension and Prerequisite are techniques that enable relations between responses (previous and next responses). SWD and OMAMC are proposed to enhance the process of keywords/pattern matching for chatbot. Synonyms and Root-words are proposed as an additional component for chatbot that deals with Malay Language (Bahasa Malaysia), and GWP is proposed to become a supplementary component for the process of selecting final response in case where matching process is producing multiple responses. Measurement has being done by comparing the results/outcomes of proposed approaches towards previously developed chatbots (focus on A.L.I.C.E.’ as mostly referred chatbot and VPbot as SQL-based chatbot in medical domain). Significance of results is represent by several comparison tables on issues related to each proposed approaches’ purpose. As for overall research investigation, results for each area in which E-CARE has contributed seems adequate. Multimedia content component help in the development of precise CAE in regard to specific requirements gathered from previous prerequisite study, while ViDi component contributed to several areas within the processes architecture surrounding chatbot technology.
format	Thesis
qualification_level	Master's degree
author	Abbas Saliimi, Lokman
author_facet	Abbas Saliimi, Lokman
author_sort	Abbas Saliimi, Lokman
title	Chatbot development in data representation for diabetes education
title_short	Chatbot development in data representation for diabetes education
title_full	Chatbot development in data representation for diabetes education
title_fullStr	Chatbot development in data representation for diabetes education
title_full_unstemmed	Chatbot development in data representation for diabetes education
title_sort	chatbot development in data representation for diabetes education
granting_institution	Universiti Malaysia Pahang
granting_department	Faculty of Computer Systems & Software Engineering
publishDate	2011
url	http://umpir.ump.edu.my/id/eprint/17818/1/Chatbot%20development%20in%20data%20representation%20for%20diabetes%20education.pdf
_version_	1783732023132684288

Chatbot development in data representation for diabetes education

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