BS ISO/IEC 21972:2020 - Upper Level Ontology for Smart City Indicators

Welcome to the future of urban development with the BS ISO/IEC 21972:2020 standard, a comprehensive guide designed to revolutionize the way we understand and implement smart city indicators. Released on February 4, 2020, this standard is a pivotal resource for city planners, IT professionals, and policymakers aiming to create smarter, more efficient urban environments.

Overview of the Standard

The BS ISO/IEC 21972:2020 standard provides a detailed upper-level ontology for smart city indicators, offering a structured framework that facilitates the integration and interoperability of various smart city technologies. With a total of 42 pages, this document is a concise yet thorough guide that addresses the complexities of modern urban management.

Key Features

• Standard Number: BS ISO/IEC 21972:2020
• Pages: 42
• Release Date: February 4, 2020
• ISBN: 978 0 580 98262 0
• Status: Standard

Why Choose BS ISO/IEC 21972:2020?

In the rapidly evolving landscape of smart cities, having a standardized approach to indicators is crucial. The BS ISO/IEC 21972:2020 standard offers several advantages:

1. Enhanced Interoperability

By providing a common framework, this standard ensures that different smart city systems can work together seamlessly. This interoperability is essential for the efficient functioning of smart cities, where various technologies must communicate and collaborate effectively.

2. Comprehensive Coverage

With 42 pages of in-depth content, the standard covers a wide range of topics related to smart city indicators. It addresses the needs of diverse stakeholders, from city planners to IT professionals, ensuring that all aspects of smart city development are considered.

3. Future-Proofing Urban Development

As cities continue to grow and evolve, the need for adaptable and forward-thinking solutions becomes more pressing. The BS ISO/IEC 21972:2020 standard provides a robust framework that can accommodate future technological advancements, ensuring that cities remain at the forefront of innovation.

Applications of the Standard

The BS ISO/IEC 21972:2020 standard is applicable across a wide range of smart city initiatives, including:

• Urban Planning: Facilitating data-driven decision-making for sustainable city growth.
• Infrastructure Management: Enhancing the efficiency and effectiveness of urban infrastructure systems.
• Environmental Monitoring: Supporting the integration of environmental data for better resource management.
• Public Safety: Improving the coordination and response of emergency services through shared data platforms.

Who Should Use This Standard?

The BS ISO/IEC 21972:2020 standard is an invaluable resource for a variety of professionals, including:

• City Planners: To design and implement smart city projects that are efficient and sustainable.
• IT Professionals: To develop and manage the technological infrastructure of smart cities.
• Policy Makers: To create informed policies that support smart city initiatives.
• Researchers: To explore new methodologies and technologies in the field of smart cities.

Conclusion

The BS ISO/IEC 21972:2020 standard is a critical tool for anyone involved in the development and management of smart cities. By providing a clear and comprehensive framework for smart city indicators, it enables cities to harness the full potential of technology, leading to more efficient, sustainable, and livable urban environments.

Embrace the future of urban development with the BS ISO/IEC 21972:2020 standard and be part of the transformation towards smarter, more connected cities.

BS ISO/IEC 21972:2020

This standard BS ISO/IEC 21972:2020 Information technology. Upper level ontology for smart city indicators is classified in these ICS categories:

• 35.240.99 IT applications in other fields
• 13.020.20 Environmental economics. Sustainability

This document establishes general principles and gives guidelines for an indicator upper level ontology (IULO) for smart cities that enables the representation of indicator definitions and the data used to derive them. It includes:

• concepts (e.g., indicator, population, cardinality); and

• properties that relate concepts (e.g., cardinality_of, parameter_of_var).