Ontology based respiratory disease database management

Abstract

The Industry 4.0 - the new era of digitization has begun in the world in general and in Viet Nam in particular. As a result, the volume of data exploded quickly. Therefore, many companies and business organizations have chosen ontology as the fundamental platform to cope with the constant fluctuations of information and data. Ontology is like a database of a particular field, it describes everything in that field including definitions of terms, the properties of objects, and the relationship between them. It will allow the computer to "understand" the human-like semantics, to share information across different systems. Disease Database is now very diverse and increasing every day. And Vietnamese medicine databases are not consistent and overlapped, that leads to difficulties of update and lookup. This thesis aims to develop an ontology-based respiratory disease database management system which would facilitate updating respiratory disease data from multi-sources. The system will help users, especially those working in the field of medicine, to find out the disease, cause of the disease as well as update the information of new diseases quickly and accurately.