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[2017-2020] : [SG20] : [Q3/20]

[Declared patent(s)]  - [Publication]

Work item: Y.4470 (ex Y.SSC-AISE-arc)
Subject/title: Reference architecture of artificial intelligence service exposure for smart sustainable cities
Status: Approved on 2020-08-29 
Approval process: AAP
Type of work item: Recommendation
Version: New
Equivalent number: -
Timing: -
Liaison: ITU-T SG13; ITU-T FG-ML5G; ISO/IEC JTC1/SC42; GSMA; IEEE;
Supporting members: China Unicom; CAICT, MIIT; Egypt; ETRI; Fiberhome; China Mobile; ZTE Corporation;
Summary: This Recommendation introduces artificial intelligence service exposure (AISE) for smart sustainable cities (SSC), and provides the common characteristics and high-level requirements, reference architecture and relevant common capabilities of AISE. AISE is one of the basic supporting functional entities for smart sustainable cities, with which SSC services can use uniform reference points (exposed by AISE) to integrate and access the AI capabilities of AI services (e.g., machine learning services for image recognition, natural language processing services, traffic prediction services etc.). In addition, AISE can collect and open SSC data, and it supports AI services to train and perform AI capabilities in AISE in SSCs.
Comment: -
Reference(s):
  Historic references:
Contact(s):
Xiongwei Jia, Editor
Sunghan Kim, Editor
Keng Li, Editor
Song Luo, Editor
Hongjun Wan, Editor
ITU-T A.5 justification(s):
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First registration in the WP: 2018-02-02 13:38:05
Last update: 2020-08-31 11:53:20