Abstract

According to WWF, 1.1 billion people lack access to water, and 2.7 billion experience water scarcity at least one month a year. By 2025, two-thirds of the world's population may be facing water shortages. This highlights the urgency of managing water usage efficiently, especially in water-intensive sectors like food. This paper proposes a recommendation engine, powered by knowledge graphs, aiming to facilitate sustainable and healthy food consumption. The engine recommends ingredient substitutes in user recipes that improve nutritional value and reduce environmental impact, particularly water footprint. The system architecture includes source identification, information extraction, schema alignment, knowledge graph construction, and user interface development. The research offers a promising tool for promoting healthier eating habits and contributing to water conservation efforts.

Metadata

publication

Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23805 …, 2024

year

2024

publication date

2024/3/24

authors

Saurav Joshi, Filip Ilievski, Jay Pujara

link

https://ojs.aaai.org/index.php/AAAI/article/view/30571

resource_link

https://ojs.aaai.org/index.php/AAAI/article/download/30571/32733

journal

Proceedings of the AAAI Conference on Artificial Intelligence

volume

38

issue

21

pages

23805-23807