ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 Metadata Modeling and Operation Flow of Problem Solving Ecosystem for ECG Data Engineering and Arrhythmia Diagnosis
Cited 2 time in scopus Download 4 time Share share facebook twitter linkedin kakaostory
저자
우성필, 서영호, 주바이르, 엄보윤, 박동환, 임선환, 박찬원
발행일
202110
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1835-1837
DOI
https://dx.doi.org/10.1109/ICTC52510.2021.9620796
협약과제
21HR4500, 5G-IoT 기반 고신뢰 AI-데이터 커먼즈 프레임워크 핵심기술 개발, 임선환
초록
Data Commons is a user-centric, decentralized data management, and trading ecosystem that empowers data owners to set the level of privacy protection, scope of delivery, and distributes profits to owners. On top of the Data Commons, we build a problem solving ecosystem which is a decentralized collaborative process execution space where anyone participating in the consortium can contribute in various ways to the work required at each stage of the workflow and receive incentives depending on their contributions. In this paper, as work in progress, we describe our problem solving ecosystem with an example of metadata and operational flow using ECG data engineering and arrhythmia diagnostic scenarios.
KSP 제안 키워드
AND operation, Collaborative process, Data Commons, Data Management, Data engineering, Metadata modeling, Operation flow, Process execution, User-Centric, Work in progress, decentralized data