IEC SRD 63476-1:20 24提供了智慧城市系统本体相关标准的差距分析，用作映射、开发和维护一组智慧城市系统本体标准的基础文档。 本体正在成为大数据、人工智能、物联网和智能城市系统标准领域的关键主题。本体的以下益处被认为对于数字内容的互操作性、连接性、可追溯性，特别是用于决策和动作的数字内容的机器可读性、可执行性和可解释性是重要的。 -增加跨领域的互操作性。 -启用用于计算推理和决策的机器可读代码。 -在数据、信息和知识系统之间建立语义联系。 -构建可访问的API和web之间的语义链接-基于的数据对象。 -将数据域与共享概念或规范数据模型联系起来。 -连接域之间的共享数据概念和定义。 然而，本体在不同的国际标准中有多种定义。如何理解本体的不同含义，并出于正确的目的为正确的利益相关者的关注点选择正确的定义，是智慧城市中跨学科、跨领域、跨系统、跨平台、跨应用的业务、数据、信息、知识和决策的有效集成的一大挑战。此外，如何应对许多不同本体的互操作性的巨大挑战，以满足人工智能和大数据分析的需求，是智慧城市系统领域需要填补的空白。如何为智能城市系统开发机器可读、可执行和可解释的数字内容，在系统中工作而无需人工努力是新兴的需要研究的问题。对现有本体标准与智能城市实际部门的更好的沟通、协调、合作、协作和连接有很大的需求。本文件旨在: ？识别来自不同标准开发组织（SDO）的现有本体标准，并为智能城市系统提供本体标准开发和维护的最佳实践示例和考虑因素； ？确定智慧城市系统现有本体标准的差距以及本体标准开发的机遇和挑战，同时考虑城市范围内多维度和多领域利益相关者的关注点，并为本体标准的开发和维护提供建议，以实现智慧城市系统的集成、互操作性、效率和有效性。

IEC SRD 63476-1:2024 provides a gap analysis on ontology relevant standards for smart city systems to be used as a base document for mapping, developing and maintaining a set of ontology standards for smart city systems.
Ontology is becoming a key subject in the world of big data, AI, IoT, and smart city system standards. The following benefits of ontology are recognized as important with respect to interoperability, connectivity, traceability of digital content, particularly machine readability, executability and interpretability of digital content for decision making and actions.
- Increase interoperability across domains.
- Enable machine-readable code for computational reasoning and decision making.
- Create semantic linkages between data, information and knowledge systems.
- Build accessible APIs and semantic linkages between web-based data objects.
- Link data domains with shared concepts or canonical data models.
- Connect shared data concepts and definitions between domains.
However, ontology has a variety of definitions in different international standards. How to understand different meanings of ontology and select the right definition for the right stakeholders’ concerns for the right purposes is a big challenge for effective integration of business, data, information, knowledge and decision making, across disciplines, domains, systems, platforms and applications in smart cites. Moreover, how to deal with the grand challenges of interoperability of many and various ontologies to satisfy the demands from artificial intelligence and big data analytics are gaps to be filled in the area of smart city systems. How to develop digital content that is machine readable, executable and interpretable, working in the system without human effort for a smart city system are emerging needs to be studied. There are significant demands for better communication, coordination, cooperation, collaboration and connectivity of existing ontology standards to smart cities practical sectors. This document aims:
？ to identify existing ontology standards from different Standards Development Organizations (SDOs) and to provide best practice examples and considerations of ontology standards development and maintenance for smart city systems;
？ to identify gaps in existing ontology standards for smart city systems and the opportunities and challenges in ontology standards development taking into account multi-dimensional and muti-domain stakeholders’ concerns city wide, and to provide recommendations for ontology standards development and maintenance to enable integration, interoperability, efficiency and effectiveness of smart city systems.