An Ontology-based Framework to Enhance Carbon Reduction Assessment

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.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2024-12-10
Primary Topic
Environmental Impact and Sustainability
Type
article
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article

An Ontology-based Framework to Enhance Carbon Reduction Assessment

Journal of the Association for Information Systems
Environmental Impact and Sustainability
article

An Ontology-based Framework to Enhance Carbon Reduction Assessment

article en

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.

Journal of the Association for Information Systems
Responsible consumption and production
Openalex Percentile: Top 61%
Environmental Impact and Sustainability
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An Ontology-based Framework to Enhance Carbon Reduction Assessment · Journal of the Association for Information Systems (2024) | TGRS Research Map | TGRS