Ontology-Based Food Safety Counseling System

Autor:	Ashraf M. Sharoba, Yasser A. Ragab, Essam F. Elfakhrany
Rok vydání:	2019
Předmět:	Knowledge management Computer science business.industry digestive oral and skin physiology Inference Ontology (information science) Risk factor (computing) Food safety Knowledge base Tacit knowledge Semantic integration business Set (psychology) ComputingMilieux_MISCELLANEOUS
Zdroj:	Advances in Intelligent Systems and Computing ISBN: 9783030311285 AISI
DOI:	10.1007/978-3-030-31129-2_56
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::be9b3ed1deb073c40c4deee5ac3b8f5d https://doi.org/10.1007/978-3-030-31129-2_56 Zobrazit plný text záznamu