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Article

Development of Intelligent Information System for Digital Cultural Contents

by 1 and 2,*
1
Department of Computer Science and Engineering, Korea University, Seoul 02841, Korea
2
Division of Computer Engineering, Hanshin University, Osan 18101, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Ángel Alberto Magreñán
Mathematics 2021, 9(3), 238; https://doi.org/10.3390/math9030238
Received: 7 January 2021 / Revised: 21 January 2021 / Accepted: 22 January 2021 / Published: 26 January 2021
(This article belongs to the Special Issue Artificial Intelligence in Education)
A significant amount of digital cultural contents is shared online, but learners do not know where subject matter content is or how to find it. Therefore, there is a need for a service to improve educational quality by effectively providing relevant information in response to searches for content that is useful to learners. This study developed and tested the usability and utility of an intelligent information system that effectively searches and visualizes digital cultural contents. The system collects data on digital cultural contents, automatically classifies them, and creates content triple data to automatically display the results with a 3D timeline, knowledge network map, and keyword relation network map through content search, triple search, and keyword search. We also conducted a survey and in-depth interviews to verify users’ satisfaction with respect to the use and utility of the system. For the experiment, we developed survey questions to measure user satisfaction and conducted in-depth interviews regarding the system’s utility with a total of 65 subjects. The results show that the response for satisfaction with regard to the use and utility was generally “satisfied”. In addition, the system stability was evaluated as “high”. View Full-Text
Keywords: knowledge graph; traditional culture; ontology; classification; relation extraction; education; artificial intelligence knowledge graph; traditional culture; ontology; classification; relation extraction; education; artificial intelligence
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MDPI and ACS Style

Hur, Y.; Jo, J. Development of Intelligent Information System for Digital Cultural Contents. Mathematics 2021, 9, 238. https://doi.org/10.3390/math9030238

AMA Style

Hur Y, Jo J. Development of Intelligent Information System for Digital Cultural Contents. Mathematics. 2021; 9(3):238. https://doi.org/10.3390/math9030238

Chicago/Turabian Style

Hur, Yuna; Jo, Jaechoon. 2021. "Development of Intelligent Information System for Digital Cultural Contents" Mathematics 9, no. 3: 238. https://doi.org/10.3390/math9030238

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