S&M Young Researcher Paper Award 2020
Recipients: Ding Jiao, Zao Ni, Jiachou Wang, and Xinxin Li [Winner's comments]
Paper: High Fill Factor Array of Piezoelectric Micromachined
Ultrasonic Transducers with Large Quality Factor

S&M Young Researcher Paper Award 2021
Award Criteria
Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Ontology-based Integration of Knowledge Base for Building an Intelligent Searching Chatbot

Hien D. Nguyen, Tuan-Vi Tran, Xuan-Thien Pham, Anh T. Huynh, and Nhon V. Do

(Received January 11, 2021; Accepted June 14, 2021)

Keywords: intelligent chatbot, knowledge base, ontology, e-learning

A chatbot is a useful tool for communicating with users to extract necessary information. An intelligent chatbot requires an effective knowledge base as materials to adequately organize the knowledge domain and process many kinds of inputted queries as natural text. Ontology technology is effective for use in learning technology systems. In this paper, a model that uses ontology technology for relational knowledge to integrate a structure of scripts is presented. This integrated model, called the Rela-Scripts model, is used to organize the knowledge material of a chatbot to search for knowledge in education. Some problems in searching for knowledge by this chatbot are proposed and solved on the basis of the Rela-Scripts model. The proposed method is applied to build an intelligent chatbot for answering questions on contents of the Introduction to Programming course in a university. This chatbot acts as a tutor by communicating with students in Vietnamese and gives explanations that meet the requirements of students. Its instructions are useful for their self-learning to enhance their programming skills.

Corresponding author: Hien D. Nguyen




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