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- W2889528221 abstract "Open data is a vital part of new digital economy. It facilitates value creation from combining data from multiple sources. It also important to utilize a massive data flow from emerging IoT (Internet of Things) devices. Future smart cities will consist of a large aggregation of open data APIs. The size and variety of open data APIs provide challenges for usability, consistency, and integrity. The author analyzes issues in open data APIs in the Tokyo public transportation. The author discusses multiple aspects of issues. Then, the author presents a framework with three view models to deal with open data APIs: outcome, cause, and fixes. Finally, the author discusses lessons learned in the Tokyo public transportation open data APIs." @default.
- W2889528221 created "2018-09-07" @default.
- W2889528221 creator A5017850435 @default.
- W2889528221 date "2018-08-28" @default.
- W2889528221 modified "2023-09-23" @default.
- W2889528221 title "Lessons Learned in Tokyo Public Transportation Open Data APIs" @default.
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- W2889528221 doi "https://doi.org/10.1007/978-3-319-98530-5_31" @default.
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