AICLIRAug 22, 2025

Extending FKG.in: Towards a Food Claim Traceability Network

arXiv:2508.16117v2h-index: 3Proceedings of the 1st International Workshop on Multi-modal Food Computing
Originality Synthesis-oriented
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This work addresses the need for transparent and accountable food knowledge ecosystems to help researchers, policymakers, and consumers navigate dietary claims, though it is incremental as it builds on an existing knowledge graph.

The paper tackles the problem of fragmented infrastructure for tracing and verifying food claims by proposing a Food Claim-Traceability Network (FCN) as an extension of an existing Indian food knowledge graph, using a proof of concept developed with Reddit data and Large Language Models.

The global food landscape is rife with scientific, cultural, and commercial claims about what foods are, what they do, what they should not do, or should not do. These range from rigorously studied health benefits (probiotics improve gut health) and misrepresentations (soaked almonds make one smarter) to vague promises (superfoods boost immunity) and culturally rooted beliefs (cold foods cause coughs). Despite their widespread influence, the infrastructure for tracing, verifying, and contextualizing these claims remains fragmented and underdeveloped. In this paper, we propose a Food Claim-Traceability Network (FCN) as an extension of FKG[.]in, a knowledge graph of Indian food that we have been incrementally building. We also present the ontology design and the semi-automated knowledge curation workflow that we used to develop a proof of concept of FKG[.]in-FCN using Reddit data and Large Language Models. FCN integrates curated data inputs, structured schemas, and provenance-aware pipelines for food-related claim extraction and validation. While directly linked to the Indian food knowledge graph as an application, our methodology remains application-agnostic and adaptable to other geographic, culinary, or regulatory settings. By modeling food claims and their traceability in a structured, verifiable, and explainable way, we aim to contribute to more transparent and accountable food knowledge ecosystems, supporting researchers, policymakers, and most importantly, everyday consumers in navigating a world saturated with dietary assertions.

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