An Ontology-Based Question Answering System for University Admissions Advising  

作　　者：Thi Thanh Sang Nguyen Dang Huu Trong Ho Ngoc Tram Anh Nguyen 

机构地区：[1]School of Computer Science and Engineering,International University,VNU-HCMC,Vietnam National University,Ho Chi Minh City,Vietnam

出　　处：《Intelligent Automation & Soft Computing》2023年第4期601-616,共16页智能自动化与软计算（英文）

基　　金：funded by International University,VNU-HCM under Grant Number T2020-03-IT.

摘　　要：Question-Answer systems are now very popular and crucial to support human in automatically responding frequent questions in manyfields.However,these systems depend on learning methods and training data.Therefore,it is necessary to prepare such a good dataset,but it is not an easy job.An ontol-ogy-based domain knowledge base is able to help to reason semantic information and make effective answers given user questions.This study proposes a novel chatbot model involving ontology to generate efficient responses automatically.A case study of admissions advising at the International University–VNU HCMC is taken into account in the proposed chatbot.A domain ontology is designed and built based on the domain knowledge of university admissions using Protégé.The Web user interface of the proposed chatbot system is developed as a prototype using NetBeans.It includes a search engine reasoning the ontology and generat-ing answers to users’questions.Two experiments are carried out to test how the system reacts to different questions.Thefirst experiment examines questions made from some templates,and the second one examines normal questions taken from frequent questions.Experimental results have shown that the ontology-based chatbot can release meaningful and long answers.The results are analysed to prove the proposed chatbot is usable and promising.

关 键 词：ONTOLOGY chatbots answer-question systems domain knowledge base admissions advising 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]