VISUALIZATION OF ONTOLOGY-BASED DATA WAREHOUSE FOR MALARIA SPREAD INCIDENCES USING PROTEGE

Abstract

Malaria is a communicable disease caused by a plasmodium parasite and transmitted among human by Anopheles mosquitoes. Late medication of this disease can cause a death of patients. Indonesia has many endemic areas with a high volume of patients diagnosed by Malaria. Currently, this incidences data are stored in Microsoft Excel files. We need to build a data warehouse to easily manage these data. Here, we create ontology of Malaria’s incidence data to figure out the important information in Malaria data warehouse that we want to build. We identify entities, classes, subclasses, and relationships between these entities. We employed Protégé to build and visualize the ontology of Malaria’ incidence data.

Keywords

• ontology
• data warehouse
• malaria
• visualization
• Protégé