CQACD: A Concept Question-Answering System for Intelligent Tutoring Using a Domain Ontology With Rich Semantics
In this study, a Concept Question Answering system applied to the Computer Domain (CQACD) for intelligent tutoring is proposed. This system is a dialogue-based Intelligent Tutoring System (ITS) that allows the tutor and student with mixed-initiative and natural language to ask each other questions c...
Main Authors: | Yu Wen, Xinhua Zhu, Lanfang Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9802991/ |
Similar Items
-
Ontology-based Chatbot to Support Monitoring of Server Performance and Security By Rule-base
by: Fauzan Ishlakhuddin, et al.
Published: (2021-04-01) -
Ontology‐lexicon–based question answering over linked data
by: Mehdi Jabalameli, et al.
Published: (2020-01-01) -
NLP Questions Answering Using DBpedia and YAGO
by: Tomasz Boiński, et al.
Published: (2020-11-01) -
A Rule-Based Approach to Understand Questions in Arabic Question Answering
by: Emad M. Al-Shawakfa
Published: (2016-12-01) -
Concept relation extraction using Naïve Bayes classifier for ontology-based question answering systems
by: G. Suresh kumar, et al.
Published: (2015-01-01)