ACIS 2024 Proceedings
Abstract
Carbon certificates provide a mechanism to recognise actions conducted by organisations to reduce their carbon footprint. While assessment certificates offer a huge promise in responding to climate change, a reliable approach to the issuance of certificates with an accurate carbon reduction estimate remains elusive. We believe that by collecting and maintaining high-quality and comprehensive datasets on historic carbon reduction projects, and utilising them effectively in planning future projects, we can improve the accuracy of carbon reduction estimations. This paper proposes a reuse framework to achieve this goal. The framework combines the use of ontologies and knowledge graph to consolidate access diverse data sources into a singular platform. The platform will also provide an interactive interface for organisations to design and develop their projects using historical data and insights. Knowledge graph-based platforms are proven to foster knowledge-sharing, encourage best practices, and enable transparent decision making. This paper aims to bring those benefits into modern organizations, supporting their goal for sustainability and the collective goal of a low-carbon economy.
Recommended Citation
Pandey, Sagar; Beydoun, Ghassan; Bandara, Madhushi; McCusker, Brad; and Devalence, Charis, "An Ontology-based Framework to Enhance Carbon Reduction Assessment" (2024). ACIS 2024 Proceedings. 54.
https://aisel.aisnet.org/acis2024/54