Toward a One-Stop Knowledge Service for Dermatology: A Case Study of Wikidata

Author: Darari, Fariz; Firdausiya, Fitri
Informations
JournalProceedings of the 2025 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2025, 2025 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)
PublisherInstitute of Electrical and Electronics Engineers Inc., IEEE
Pages791 - 795
Publication Year2025
ISBN979-833158649-2
Source TypeScopus
Abstract
Dermatological knowledge encompasses a wide range of evolving topics, including diagnosis, treatment, and research related to skin diseases. Given the growing need for seamless integration of such information, this study explores Wikidata as a one-stop, comprehensive service for representing and interlinking dermatological knowledge. Specifically, we investigate how dermatological entities, such as diseases, their causes, treatments, and related medical procedures, are structured within Wikidata. The study adopts an exploratory research methodology, comprising four stages: problem definition, data collection and observation, data analysis, and reporting findings. Our research results highlight both the opportunities and challenges of leveraging Wikidata as an open and structured knowledge repository for dermatology. © 2025 IEEE.
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