Ontology-Based Food Safety Counseling System

Abstract

The lack of knowledge about food ingredients can be risky and lead to serious complications for those with chronic diseases and food allergies. This paper proposes ontology-based Food Safety Counseling System (FSCS) that help the users with chronic diseases and food allergies to select their food. FSCS’ aim to investigate the level of appropriate food products chosen by the users. The proposed models aim is to measure semantic relations between effected elements (The Main Item) of food product and the personal health status of users to provide professional advice about risky ingredient through six level of risk factor. It contains the Egypt food safety ontology (EFSO) and set of rules created based on knowledge elicited from experts in food safety domain to discover the tacit knowledge and allow semantic integration by applying forward-chaining deduction method and inference mechanism to knowledge base. The results indicate the model works effectively with high accuracy.