IEC SRD 63476-1 ED1

Smart city system ontology - Part 1: Gap analysis IEC SRD 63476-1 ED1

Scope

Ontology is becoming a key subject in the world of big data, AI, IoT, and smart city system standards. 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 provide best practice examples and considerations of ontology standards development and maintenance for smart city systems, as well as 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.