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Conference Paper An Advanced Open Data Platform for Integrated Support of Data Management, Distribution, and Analysis
Cited 6 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Heesun Won, Minh Chau Nguyen, Myeong-Seon Gil, Yang-Sae Moon
Issue Date
2021-12
Citation
International Conference on Big Data (Big Data) 2021, pp.1-5
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/BigData52589.2021.9671504
Abstract
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.
KSP Keywords
Big-data, Data Distribution, Data Management, Data as a Service, Data sharing, Development environment, Four components, Free Data, Function block(FB), International standards, Its efficiency