MCCHE Convergent Innovation Webinar Series with Lipika Dey
Building FKG.INa large-scale Indian Food Knowledge Graph using AI tools
Lipika Dey
Professor of Computer Science at Ashoka University, India
Abstract
Food computing refers to the use of computing techniques to address a range of problems associated to different stages of the food life-cycle, that comprises of production, sourcing, processing, consumption and waste management. A food knowledge graph is a structured representation of food-related entities and the relationships between them. Food knowledge graphs store information about individual entities like raw ingredients, their nutrients and sources along with properties about recipes that use them like cuisines, origins dietary restrictions, etc. Knowledge graphs provide reasoning support for advanced food computing tasks like generating personalized recommendations, gaining insights about communities, across the food, health, and agriculture domains. Building a food knowledge graph is however a non-trivial task, as food related information is inherently imprecise and noisy in nature. Our work focuses on automating the tasks of building knowledge graphs by acquiring, resolving and integrating knowledge from different sources like websites, books, personal blogs etc., and further make it ready for automating computational tasks like personalized nutrition recommendation, food recommendations for community health, food safety analysis and so on. We will share our experiences on building a Food Knowledge Graph for India, FKG.IN, addressing challenges of imprecise measurements, multilingualism and uncertainty in processes.
ABOUT THE SERIES
The Convergent Innovation Webinar Series features cutting edge science, technology and innovation in agriculture, food, environment, education, medicine and other domains of everyday life where grand challenges lie at the convergence of health and economics. Powered by data science, artificial intelligence, and other digital technologies, this disciplinary knowledge bridges with behavioural, social, humanities, business, economics, social, engineering, and complexity sciences to accelerate real-world solution at scale, be it in digital or physical contexts. Initiated in the agri-food domain, the series is now encompassing other grand challenges facing modern and traditional economies and societies, such as ensuring lifelong wellness and resilience at both the individual and population levels.
