Health Monitoring System Design Based on Ontology Knowledge Base

Abstract

A health monitoring system is designed for smart management for personal health in this paper. Self-description and self-reasoning, the characteristics of ontology, make the link between machine and knowledge, knowledge point and the relevant knowledge point more closer. This system has certain application value on managing and analyzing basic health data. Database in this system is realized by storing user’s health data and disease information. Health monitoring system is user-centric which can record user’s health condition data and make recommendations for user according to the result of health data analyzing. User’s health status is expressed by a specific domain, like overweight and underweight. The experiment result shows that the health monitoring system can make a steady management for personal health on a long track record of health status and strict logic reasoning.