Inproceedings3952

The Green AI Ontology: An Ontology for Modeling the Energy Consumption of AI Models

Michael Färber, David Lamprecht

Published: 2022

Buchtitel: Proceedings of the 21st International Semantic Web Conference (ISWC'22)
Verlag: CEUR-WS

Referierte Veröffentlichung
Note: Best Poster Award ISWC 2022!

BibTeX

Kurzfassung
Modeling AI systems’ characteristics of energy consumption and their sustainability level as an extension of the FAIR data principles has been considered only rudimentarily. In this paper, we propose the Green AI Ontology for modeling the energy consumption and other environmental aspects of AI models. We evaluate our ontology based on competency questions. Our ontology is available at https://w3id.org/Green-AI-Ontology and can be used in a variety of scenarios, ranging from comprehensive research data management to strategic controlling of institutions and environmental efforts in politics.

Download: Media:GreenAI_ISWC2022.pdf
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Verknüpfte Datasets

Green AI Ontology

Forschungsgruppe

Web Science

Forschungsgebiet

Wissensrepräsentation, Ontologiemodellierung, Künstliche Intelligenz