Urban Resilience Lab.

Using Linked Data to Assist in Sustainable Neighbourhood Planning

Global energy consumption continues to grow, leading to a subsequent rise in carbon emissions. Among most of energy sectors, buildings and transport are significant contributor to energy consumption and emissions.

However, existing research often treats buildings and transport as separate systems, failing to recognize the interconnectedness of the urban energy landscape and the presence of heterogeneous data.

To address these challenges, it is necessary to establish connections between the main sectors of urban energy and improve the exchange of heterogeneous data. Semantic web technologies offer a potential solution for integrating and managing diverse data sources.

By employing these technologies, this research aims to develop ontology for urban energy systems, enabling more efficient data management and enhancing the accessibility and usability of heterogeneous data. The ontology has practical implications for stakeholders like household owners, constructors, and the government, enabling informed decision-making, optimized construction practices, and sustainable urban planning, including energy transition strategies.

Keywords: semantic web technologies, linked data, energy, decision-making