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

Future Internet

Chul-Su Lim¹  Hyoung-Seop Shim¹  Ji-Sun Kang¹  Jiseong Son¹ 

[1] Korea Institute of Science and Technology Information, Daejeon 34141, Korea;

关键词: knowledge graph;    ontology;    open dataset;    flooding disaster;   

DOI  :  10.3390/fi13050124

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown