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.
Downloads
Copyright (c) 2016 Jurnal Sistem Informasi
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
