The Implementation of Semantic Web Technology in Traditional Plant Medicine

Medical records are a documentation of patients health data that should be having by a doctor or a health worker during the examination process. This data collection commonly was performed manually, so it is difficult to access it or copy it. This research discusses about medical records system that easily accessed by implementation of Semantic Web Technology. Semantic Web can make the data more meaningful as long as it has a good definition. A component in a Semantic Web, RDF, can modify data into a semantic text. In this research, database form medical records will be mapped with RDF format. RDF map should run first by using D2R server. This running process will provide and endpoint that can be accessed by a user to get a medical records database. The data will be accessed using the SPARQL query. The data in this research are a secondary data taken from the manual of diagnosis and therapy. The results show that medical records in the database can be accessed by using keywords from anamneses, visual examination and patients diagnose. In addition, this system also can display the database of medicinal plants. Medical plants data taken from different database, although it can be implemented a mapping for accessing it.