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Article

Development of Knowledge Graph for Data Management Related to Flooding Disasters Using Open Data

Korea Institute of Science and Technology Information, Daejeon 34141, Korea
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Academic Editor: Devis Bianchini
Future Internet 2021, 13(5), 124; https://doi.org/10.3390/fi13050124
Received: 13 April 2021 / Revised: 6 May 2021 / Accepted: 6 May 2021 / Published: 11 May 2021
(This article belongs to the Special Issue Open Data and Artificial Intelligence)
Despite the development of various technologies and systems using artificial intelligence (AI) to solve problems related to disasters, difficult challenges are still being encountered. Data are the foundation to solving diverse disaster problems using AI, big data analysis, and so on. Therefore, we must focus on these various data. Disaster data depend on the domain by disaster type and include heterogeneous data and lack interoperability. In particular, in the case of open data related to disasters, there are several issues, where the source and format of data are different because various data are collected by different organizations. Moreover, the vocabularies used for each domain are inconsistent. This study proposes a knowledge graph to resolve the heterogeneity among various disaster data and provide interoperability among domains. Among disaster domains, we describe the knowledge graph for flooding disasters using Korean open datasets and cross-domain knowledge graphs. Furthermore, the proposed knowledge graph is used to assist, solve, and manage disaster problems. View Full-Text
Keywords: knowledge graph; ontology; open dataset; flooding disaster knowledge graph; ontology; open dataset; flooding disaster
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MDPI and ACS Style

Son, J.; Lim, C.-S.; Shim, H.-S.; Kang, J.-S. Development of Knowledge Graph for Data Management Related to Flooding Disasters Using Open Data. Future Internet 2021, 13, 124. https://doi.org/10.3390/fi13050124

AMA Style

Son J, Lim C-S, Shim H-S, Kang J-S. Development of Knowledge Graph for Data Management Related to Flooding Disasters Using Open Data. Future Internet. 2021; 13(5):124. https://doi.org/10.3390/fi13050124

Chicago/Turabian Style

Son, Jiseong, Chul-Su Lim, Hyoung-Seop Shim, and Ji-Sun Kang. 2021. "Development of Knowledge Graph for Data Management Related to Flooding Disasters Using Open Data" Future Internet 13, no. 5: 124. https://doi.org/10.3390/fi13050124

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