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Microservices based Linked Data Quality Model for Buildings Energy Management Services
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논문 기본 정보

Type
Proceeding
Author
Muhammad Aslam Jarwar (Hankuk University of Foreign Studies) Sajjad Ali (Hankuk University of Foreign Studies) Ilyoung Chong (Hankuk University of Foreign Studies)
Journal
Korea Institute Of Communication Sciences Proceedings of Symposium of the Korean Institute of communications and Information Sciences 2019년도 한국통신학회 동계종합학술발표회 논문집
Published
2019.1
Pages
640 - 643 (4page)

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Result
Microservices based Linked Data Quality Model for Buildings Energy Management Services
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Abstract· Keywords

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During the production, distribution, and consumption of energy, a large quantity of data is generated. For efficiently using of energy resources other supplementary data such as building information, weather, and environmental data etc. are also collected and used. All these energy data and relevant data is published as linked data in order to enhance the reusability of data and maximization of energy management services capability. However, the quality of this linked data is questionable because of wear and tears of sensors, unreliable communication channels, and highly diversification of data sources. The provision of high-quality energy management services requires high quality linked data, which reduces billing cost and improve the quality of the living environment. Assessment and improvement methodologies for the quality of data along with linked data needs to process very diverse data from highly diverse data sources. Microservices based data-driven architecture has great significance to processes highly diverse linked data with modularity, scalability, and reliability. This paper proposed microservices based architecture along with domain data and metadata ontologies to enhance and assess energy-related linked data quality.
#Microservices #linked data quality #data quality #energy management services

Contents

Abstract
I. INTRODUCTION
II. RELATED WORK
III. LINKED DATA QUALITY DIMENSIONS AND METRICS
IV. LINKED DATA QUALITY DIMENSIONS WITH RESPECT TO ENERGY DATA
V. MICROSERVICES BASED ARCHITECTURE TO PROCESS ENERGY LINKED DATA QUALITY FOR SERVICES
VI. ONTOLOGY FOR ENERGY LINKED DATA QUALITY MODEL
VII. CONCLUSION
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UCI(KEPA) : I410-ECN-0101-2019-567-000535876