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Conference Paper Metadata Management and Harvesting System in Smart Open Data As a Service
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Authors
Minh Chau Nguyen, Heesun Won, Siwoon Son, Yerin Woo, Hyeonjae Jeong
Issue Date
2022-02
Citation
International Conference on Advanced Communications Technology (ICACT) 2022, pp.272-275
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.23919/ICACT53585.2022.9728796
Abstract
These days, with the available data platforms, the enormous growing information including data and metadata in big data and artificial intelligence fields can be stored, organized, and processed to solve different issues in different domains. However, there are still many limitations in the current platforms. Among these drawbacks, data and metadata exchanging interfaces between platforms, an essential process of information searching development, needs to be enhanced significantly. The main reason is that the emergence of too many platforms which follow totally different standards and structures has been making the process become more and more complicated and costly. Therefore, we propose here a system related to platform management, in particular to information harvesting management to let users obtain easily the desired metadata and data content collected from different systems. Moreover, it helps users manage effectively the harvesting process.
KSP Keywords
Available data, Big Data, Data Platform, Data as a Service, Different domains, Information searching, Open data, Platform management, artificial intelligence, metadata management