Biodiversity Repository and Retrieval System for Malay Language

• Published in: Proceedings - AiIC 2022: 2022 Applied Informatics International Conference: Digital Innovation in Applied Informatics during the Pandemic
• Main Author: Pethie H.; Nordin S.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141426035&doi=10.1109%2fAiIC54368.2022.9914585&partnerID=40&md5=a79f89fe7366380adab9ba837bcb799e

Malaysia contains a large amount of biodiversity data. However, the biodiversity data from different state parks is fragmented and dispersed which caused difficulties for the researchers and the public to retrieve the data. Thus, a biodiversity repository and retrieval system is developed to overcome the issue. The goal of this study is to review and evaluate the existing biodiversity structure and to design a biodiversity repository and retrieval system model. It is used as a guideline to develop the system. The existing model is analyzed based on the three criteria of a good database structure that are using a good naming convention, being able to relate each entity, and using an appropriate data type. Then, the system model is designed according to the criteria. Besides, this research studies the development methods between Content Management System (CMS) and Hypertext Preprocessor (PHP) framework. The system is developed using the Laravel PHP framework and Algolia search engine that supports stop words removal and typo tolerance. The system performance is evaluated through Recall and Precision metrics. The system gained 0.90 and 0.88 for the average recall and precision metrics. It shows that the system can retrieve relevant results with a minimum of irrelevant results based on the entered query. © 2022 IEEE.