Oliot-OpenCity: open standard interoperable smart city platform

Tolcha, Yalew k., Nguyen, Hoang Minh, Byun, Jawook, Kwon, Kiwoong, Han, Jiyong, Yoon, Wondeuk, Lee, Nakyung, Kim, Hyunseob, Pham, Nhat and Kim, Daeyoung 2019. Oliot-OpenCity: open standard interoperable smart city platform. Presented at: 2018 IEEE International Smart Cities Conference (ISC2), Kansas City, MO, USA, 16-19 September 2018. 2018 IEEE International Smart Cities Conference (ISC2). IEEE, pp. 1-8. 10.1109/ISC2.2018.8656763

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Abstract

Smart cities generate huge amounts of data, which are often shared openly by multi-domain service providers. However, due to the lack of common standard interfaces, data models, and global ID management, smart city services suffers from fragmentation. It prevents data from being readily shared and accessible in a seamless way and restricts various services from being developed and discovered. To tackle this problem, we propose an open smart city platform, Oliot-OpenCity, built on the top of global standards ratified by GS1. The platform uses standardized event/master data to capture and store smart city data into an independently distributed repositories called EPC Information System (EPCIS), which can provide standard open interfaces to share resources and creates smart city data hub. Through Object Name Service (ONS) and Discovery Service (DS), it offers service and resource discovery to resolve distributed repositories and services from the various smart city domains. Moreover, to integrate the legacy city platforms, mediation gateways are proposed, which harmonize the fragmented key management and different data model into GS1 standards-based globally unique identifier and event/master data respectively. To show the feasibility of Oliot-OpenCity, we developed bus and vehicle information use cases which demonstrated its interoperability with other legacies, and the standardized data collection and sharing.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	IEEE
ISBN:	978-1-5386-5960-1
Last Modified:	11 Sep 2023 13:45
URI:	https://orca.cardiff.ac.uk/id/eprint/161760

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