An Advanced Open Data Platform for Integrated Support of Data Management, Distribution, and Analysis

被引:1
作者
Won, Heesun [1 ]
Nguyen, Minh Chau [1 ]
Gil, Myeong-Seon [2 ]
Moon, Yang-Sae [2 ]
机构
[1] Elect & Telecommun Res Inst, CybreBrain Sect, Daejeon, South Korea
[2] Kangwon Natl Univ, Dept Comp Sci & Engn, Chunchon, South Korea
来源
2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2021年
关键词
open data; data hub; data distribution; data sharing; open data platform;
D O I
10.1109/BigData52589.2021.9671504
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the growing applications of big data and artificial intelligence, the quality of the service is an outcome of the quality of the data. Nevertheless, there is still a significant lack of data that has practical application value. To solve these problems, we propose SODAS (Smart Open Data As a Service) as a novel open data platform for efficient data sharing and utilization. We first analyze the major problems in the legacy CKAN and then draw up their solutions through core strategies. We next define four components and nine function blocks of SODAS for each core strategy. As a result, SODAS drives Open Data Portal, Open Data Reference Model, DataMap Publisher, and ADE Provisioning (Analytics and Development Environment Provisioning) by connecting the defined function blocks. We confirm that each function works correctly through the SODAS Web portal and apply SODAS to actual data distribution sites to prove its efficiency and practical use. SODAS is the first open data platform that provides secure interoperability between heterogeneous platforms based on international standards and enables domain-free data management with flexible metadata.
引用
收藏
页码:2058 / 2063
页数:6
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