Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)

Intelligent Question Answering System for Internet of things data analysis and educational technology

Authors
Yanzhuang Chennekoychanjob@126.com
Longjiang Vocational and Technical School, Foshan City, Guangdong Province, China
Corresponding Author
Yanzhuang Chennekoychanjob@126.com
Available Online 2 June 2022.
DOI
10.2991/ahis.k.220601.052How to use a DOI?
Keywords
Subject oriented; Intelligent question answering; Problem handling; Sentence similarity; Answer extraction
Abstract

Question answering is an indispensable part of the teaching process. The effect of question answering largely depends on the form of the link and whether it can meet the individual needs of students. The traditional teacher learner face-to-face question answering and e-mail question answering can not meet the requirements of learners. Therefore, many educators are committed to the research of intelligent question answering system. This paper analyzes the main obstacles existing in the current domestic question answering system, designs the subject oriented intelligent question answering system, studies the core function modules, and realizes a subject oriented intelligent question answering system with friendly interface, strong pertinence, and adaptability to a variety of inquiry methods.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title
Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
2 June 2022
ISBN
978-94-6239-581-7
ISSN
2589-4919
DOI
10.2991/ahis.k.220601.052How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

TY  - CONF
AU  - Yanzhuang Chen
PY  - 2022
DA  - 2022/06/02
TI  - Intelligent Question Answering System for Internet of things data analysis and educational technology
BT  - Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)
PB  - Atlantis Press
SP  - 274
EP  - 279
SN  - 2589-4919
UR  - https://doi.org/10.2991/ahis.k.220601.052
DO  - 10.2991/ahis.k.220601.052
ID  - Chen2022
ER  -