The Green AI Ontology: An Ontology for Modeling the Energy Consumption of AI Models
Färber, M.
1; Lamprecht, D. 1
1 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)
1; Lamprecht, D. 11 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)
Abstract:
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.
| Zugehörige Institution(en) am KIT | Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB) |
| Publikationstyp | Proceedingsbeitrag |
| Publikationsjahr | 2022 |
| Sprache | Englisch |
| Identifikator | ISSN: 1613-0073 KITopen-ID: 1000153579 |
| Erschienen in | Proceedings of the ISWC 2022 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 21st International Semantic Web Conference (ISWC 2022), Ed.: A. Dimou |
| Veranstaltung | ISWC Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice (2022), Hangzhou, China, 23.10.2022 – 27.10.2022 |
| Verlag | CEUR-WS.org |
| Seiten | 1-4 |
| Serie | CEUR workshop proceedings ; 3254 |
| Vorab online veröffentlicht am | 29.10.2022 |
| Externe Relationen | Abstract/Volltext |
| Schlagwörter | Machine Learning, Green AI, Energy Consumption, Ontology Engineering |
| Nachgewiesen in | Scopus |