Spatio-Temporal Biodiversity Data Model Using Object Relational Modeling Approach Mohd Taib Wahid 1 , Abdur Rashid Mohammed Sharif 2 , Suhaimi Napis 2 , Noordin Ahmad 2 1 Faculty of Computer Science & Information Systems Universiti Tekhnologi Malaysia, 81310 Skudai, Johor, Malaysia Tel: (607)-5532422, Fax: (607) 5565044 taib@fsksm.utm.my 2 Faculty of Engineering Universiti Putra Malaysia, Serdang, Selangor, Malaysia rashid@eng.upm.edu.my , suhaimi@putra.upm.edu.my , ndin@pc.jaring.my Abstract The complexity of natural history collection information and similar information within the scope of biodiversity informatics poses significant challenges for effective management of plant biodiversity data through database system. Nowadays, many applications need data modeling facilities for the description of complex objects with spatial and/or temporal facilities. Response to such requirements maybe found in Geographic Information Systems (GIS), in some other DBMS, or in other research area. A Geographical Information System (GIS) and its associated data sets are very powerful tools for mapping biodiversity and the intention of this paper is to demonstrate this using three important GIS functions: analysis, data integration, and data visualisation. Some others traditional database systems which are widely used for commercial applications but those models fail to meet biological application (biodiversity data). However, most of existing models cover only partly requirements either spatial or temporal modeling. Beside the commercial applications, there are few models have been designed for biodiversity data management (e.g., OSHADI, BODHI, APASD) but those models are relational model only handle information about biodiversity data does not support analysis, monitoring, manipulation and prediction. Integration between biodiversity data model and GIS data model can make enhancement for the biodiversity data model to make analysis, manipulation. This paper proposes object relational data modeling approach for spatio-temporal biodiversity data model. Keywords: Biodiversity, Object relational, GIS, Spatio-temporal, data model 1. Introduction Over the last few couple of years, there has been phenomenal growth in the area of plant bio- diversity studies, largely motivated by the economic and humanitarian potential that underlines the understanding of plant dynamics. New area has arisen which is called Bio-prospecting whose focus is solely on shifting through biodiversity data to locate potentially profitable biological sources [1]. A major difficulties faced by biodiversity scientist is the effective management and access of large amounts and varied types of data arise in their studies, ranging from micro-level biological information such as genetic makeup of organism and plants to macro level information including ecological and habitat characteristics of species.