A Semantic Web Methodology for Situation-Aware Curative Food Service Recommendation System

Abstract

Recently curative food is becoming more popular, as more people realize its benefits. Based on the theory of Chinese medicine, food itself is medicine. The Curative food which is an ideal nutritious food can help to loss weight, increase immunity and is also good for curative effects in patients. In this paper, we propose a new Curative Food Service (CFS) recommendation system, the designed Situation-aware Curative Food Service Recommendation System (SCFSRS), which provides the cooperation web-based platform for all related Mobile Users (MUs) and Curative Food Service Providers (CFSPs), could strengthen the ability of CFS suggestion. SCFSRS is a five-tier system composed of the MUs, UDDI Registries (UDDIRs), CFSPs, Curative Food Services Server (CFSS), and Database Server (DS).

A Review of Web‐Based Dietary Interventions: From the Human–Computer Interaction Practitioners' Perspective

“…Second, we excluded papers that do not involve the actual dietary intervention programs (Exclusion 2). For example, we excluded papers specifically focusing on algorithms (e.g., Bo, Le, Xiu‐e, & Juanjuan, 2008) or methodology (e.g., Lo, Cheng, & Chen, 2008) without having a particular intervention. Third, we checked whether the interventions were web‐based systems (Exclusion 3).…”

Ontology Self-Learning and Service Recommendation in Smart Environment

“…The principle of these approaches is in terms of grammar and semantic information and then finds the relationship among them to acquire user's needs for the purpose of service recommendation. The other one is ontology based approach [4][5][6][7][8]. The approaches mainly rely on logic relation and reasoning to recommend services, which use the third party technique, namely ontology to describe concepts and their relationship, and find the potential needs from ontology.…”