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Homepage>BS Standards>35 INFORMATION TECHNOLOGY. OFFICE MACHINES>35.240 Applications of information technology>35.240.99 IT applications in other fields>BS ISO/IEC 30182:2017 Smart city concept model. Guidance for establishing a model for data interoperability
immediate downloadReleased: 2017-06-19
BS ISO/IEC 30182:2017 Smart city concept model. Guidance for establishing a model for data interoperability

BS ISO/IEC 30182:2017

Smart city concept model. Guidance for establishing a model for data interoperability

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Standard number:BS ISO/IEC 30182:2017
Pages:68
Released:2017-06-19
ISBN:978 0 580 93424 7
Status:Standard
DESCRIPTION

BS ISO/IEC 30182:2017


This standard BS ISO/IEC 30182:2017 Smart city concept model. Guidance for establishing a model for data interoperability is classified in these ICS categories:
  • 35.240.99 IT applications in other fields

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.