Inproceedings3952: Unterschied zwischen den Versionen
He9318 (Diskussion | Beiträge) (Die Seite wurde neu angelegt: „{{Publikation Erster Autor |ErsterAutorNachname=Färber |ErsterAutorVorname=Michael }} {{Publikation Author |Rank=2 |Author=David Lamprecht }} {{Inproceedings…“) |
He9318 (Diskussion | Beiträge) |
||
| Zeile 20: | Zeile 20: | ||
|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. | |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. | ||
|Download=GreenAI_ISWC2022.pdf | |Download=GreenAI_ISWC2022.pdf | ||
| + | |Link=http://ceur-ws.org/Vol-3254/paper361.pdf | ||
|Forschungsgruppe=Web Science | |Forschungsgruppe=Web Science | ||
}} | }} | ||
Version vom 31. Oktober 2022, 09:20 Uhr
The Green AI Ontology: An Ontology for Modeling the Energy Consumption of AI Models
The Green AI Ontology: An Ontology for Modeling the Energy Consumption of AI Models
Published: 2022
Buchtitel: Proceedings of the 21st International Semantic Web Conference (ISWC'22)
Verlag: CEUR-WS
Referierte Veröffentlichung
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
Weitere Informationen unter: Link
Wissensrepräsentation, Ontologiemodellierung, Künstliche Intelligenz