Artificial Intelligence and Data Science
Online ISSN : 2435-9262
FUNDAMENTAL STUDY ON EFFICIENT API DEVELOPMENT TOWARD SUSTAINABLE INFRASTRUCTURE DATA ACCESS
Toshihiro KAMEDAFumiya MATSUSHITA
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JOURNAL OPEN ACCESS

2022 Volume 3 Issue J2 Pages 128-133

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Abstract

Digital transformation (DX) of infrastructures field has been accelerated recently, and data linkage of maintenance data with BIM /CIM data is under investigation for their future use. On the other hand, the development of various sensing and monitoring technologies is in progress continuously, and it is likely that data that were not envisioned at the time of design could be effective for maintenance and management applications in the future. When implementing such new technologies in society, if the specifications for new data and API access methods are not consistent, data access methods will vary as the amount of data increases, and this is expected to hinder the sustainable development of DX. In this study, we focused on the convenience of schema-driven API development, such as the fact that data specifications and API access methods can be released simultaneously with data distribution and that new data can be easily provided as microservices without waiting for updates of existing systems, and examined ways to improve the efficiency of API. We studied how to improve the efficiency of API development for infrastructure data access.

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© 2022 Japan Society of Civil Engineers
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