Science in Information Technology Letters
Vol 2, No 1: May 2021

Knowledge representation of drug using ontology alignment and mapping techniques

Herlina Jayadianti (Universitas Pembangunan Nasional Veteran Yogyakarta)
Alisya Amalia Putri Hasanah (Universitas Pembangunan Nasional Veteran Yogyakarta)
Yuli Fauziah (Universitas Pembangunan Nasional Veteran Yogyakarta)
Shoffan Saifullah (Universitas Pembangunan Nasional Veteran Yogyakarta)



Article Info

Publish Date
31 May 2021

Abstract

Drug searches are still based on drug names and brands, making it difficult for patients to come looking for a cure by saying that they feel sick. Likewise, when looking for drugs and information about their content to avoid overdose errors when changing drugs when drugs are supposed to be unavailable. Based on the issues raised, a study was conducted on applying semantic web ontology to search for drugs that can appear based on patients’ names, compositions, or complaints of diseases. Protégé 5.5 serves to represent drug information based on knowledge. The application uses Netbeans with Jena API as a library and creates data and drug information on the semantic web. Drug search also uses similar in-formation meaning based on user knowledge. By representing knowledge on the search for drug and disease information with semantic web ontology technology, it can meet the purpose of research, namely to improve drug and disease information search following the user’s wishes.

Copyrights © 2021






Journal Info

Abbrev

sitech

Publisher

Subject

Computer Science & IT

Description

Science in Information Technology Letters (SITech) aims to keep abreast of the current development and innovation in the area of Science in Information Technology as well as providing an engaging platform for scientists and engineers throughout the world to share research results in related ...