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...

Full description

Bibliographic Details
Main Author:	Abbas Saliimi, Lokman
Format:	Thesis
Language:	English English English
Published:	2011
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/17818/ 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%20-%20Table%20of%20contents.pdf http://umpir.ump.edu.my/id/eprint/17818/2/Chatbot%20development%20in%20data%20representation%20for%20diabetes%20education%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/17818/3/Chatbot%20development%20in%20data%20representation%20for%20diabetes%20education%20-%20References.pdf

id	ump-17818
recordtype	eprints
spelling	ump-178182018-03-26T06:14:43Z http://umpir.ump.edu.my/id/eprint/17818/ Chatbot development in data representation for diabetes education 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 NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17818/1/Chatbot%20development%20in%20data%20representation%20for%20diabetes%20education%20-%20Table%20of%20contents.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/17818/2/Chatbot%20development%20in%20data%20representation%20for%20diabetes%20education%20-%20Abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/17818/3/Chatbot%20development%20in%20data%20representation%20for%20diabetes%20education%20-%20References.pdf Abbas Saliimi, Lokman (2011) Chatbot development in data representation for diabetes education. Masters thesis, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:59044&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English
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
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
publishDate	2011
url	http://umpir.ump.edu.my/id/eprint/17818/ 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%20-%20Table%20of%20contents.pdf http://umpir.ump.edu.my/id/eprint/17818/2/Chatbot%20development%20in%20data%20representation%20for%20diabetes%20education%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/17818/3/Chatbot%20development%20in%20data%20representation%20for%20diabetes%20education%20-%20References.pdf
first_indexed	2023-09-18T22:24:50Z
last_indexed	2023-09-18T22:24:50Z
_version_	1777415897096388608

Chatbot development in data representation for diabetes education

Similar Items