CAN/CSA-ISO/IEC 30182:19 (R2024) PDF

CAN/CSA-ISO/IEC 30182:19 (R2024) PDF

Name:
CAN/CSA-ISO/IEC 30182:19 (R2024) PDF

Published Date:
02/01/2019

Status:
Active

Description:

Smart city concept model - Guidance for establishing a model for data interoperability (Adopted ISO/IEC 30182:2017, first edition, 2017-05)

Publisher:
Canada National Standard/Canadian Standards - ISO/IEC

Document status:
Active

Format:
Electronic (PDF)

Delivery time:
10 minutes

Delivery time (for Russian version):
200 business days

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$64.2
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This International Standard describes, and gives guidance on, a smart city concept model (SCCM) that can provide the basis of interoperability between component systems of a smart city, by aligning the ontologies in use across different sectors. It includes:
  • concepts (e.g. ORGANIZATION, PLACE, COMMUNITY, ITEM, METRIC, SERVICE,RESOURCE); and
  • relationships between concepts (e.g. ORGANIZATION has RESOURCEs, EVENT at a PLACE).
The SCCM does not replace existing models where they exist, but, by mapping from a local model to a parent model, questions can be asked about data in a new and joined-up way. This International Standard is aimed at organizations that provide services to communities in cities, and manage the resulting data, as well as decision-makers and policy developers in cities.1)

The SCCM is relevant wherever many organizations provide services to many communities within a place. It does not cover the data standards that are relevant to each concept in the SCCM and does not attempt to list or recommend the sources of identifiers and categorizations that cities map to the SCCM.

The SCCM has been devised to communicate the meaning of data. It does not attempt to provide concepts to describe the metadata of a dataset, for example, validity and provenance of data. It covers semantic interoperability, that is, defining the meaning of data, particularly from many sources. It does not cover other barriers to interoperability, some of which are described at 3.2.
Edition : 1st
File Size : 1 file , 7 MB
ISBN(s) : 9781488320118
Number of Pages : 76
Product Code(s) : 2426983, 2426983
Published : 02/01/2019

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