Using Knowledge Graphs for Architecting and Implementing Air Quality Data Exchange: Australian Context
Pages 534 - 541
Abstract
The air quality data ecosystem consists of several interacting actors such as government agencies and researchers that collect large volumes of data from different air quality monitoring stations via IoT sensors and data systems. The challenge is: how to enable data linking and sharing in the complex and federated data ecosystem for more comprehensive research and reporting for air quality improvement? This paper presents a knowledge graph-based approach for architecting and implementing the air quality data exchange platform for enabling the data linking and sharing in the federated air quality data ecosystem. The application of the proposed approach is demonstrated with the help of an air quality data case study example in the Australian context. This work has been done as a part of the large air quality digital data infrastructure project with the state and local government. The learnings from this paper can be used by government agencies and researchers for architecting and implementing knowledge-graph based data exchanges as appropriate to their context.
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June 2024
1089 pages
ISBN:9798400709883
DOI:10.1145/3657054
Copyright © 2024 Owner/Author.
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Association for Computing Machinery
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Published: 11 June 2024
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dg.o 2024
dg.o 2024: 25th Annual International Conference on Digital Government Research
June 11 - 14, 2024
Taipei, Taiwan
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