International institutions are funding renewable energy initiatives to transition to a carbon-neutral economy and combat the effects of climate change. However, the involvement of multiple institutions and the absence of a standardized database of investment opportunities make it difficult for interested parties to discover and consider these opportunities. In this paper, we propose a standardized modeling approach based on knowledge graphs to represent green change investment opportunities funded by international organizations. Such an approach offers many advantages, including the ability to obtain a comprehensive overview of all available investment opportunities and uncover hidden patterns in the underlying data. We also report the results of an exploratory analysis of green investments in African countries using traditional graph metrics and community detection algorithms on a knowledge graph created with our model. The results are consistent with the existing literature on this topic.
Using Knowledge Graphs to Model Green Investment Opportunities / Grani, G., Di Rocco, L., Ferraro Petrillo, U.. - 1850:(2023), pp. 440-451. (Proceedings of the 27th European Conference on Advances in Databases and Information Systems, ADBIS 2023 Barcelona; Spain ) [10.1007/978-3-031-42941-5_38].
Using Knowledge Graphs to Model Green Investment Opportunities
Grani G.;Di Rocco L.;Ferraro Petrillo U.
2023
Abstract
International institutions are funding renewable energy initiatives to transition to a carbon-neutral economy and combat the effects of climate change. However, the involvement of multiple institutions and the absence of a standardized database of investment opportunities make it difficult for interested parties to discover and consider these opportunities. In this paper, we propose a standardized modeling approach based on knowledge graphs to represent green change investment opportunities funded by international organizations. Such an approach offers many advantages, including the ability to obtain a comprehensive overview of all available investment opportunities and uncover hidden patterns in the underlying data. We also report the results of an exploratory analysis of green investments in African countries using traditional graph metrics and community detection algorithms on a knowledge graph created with our model. The results are consistent with the existing literature on this topic.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
