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Spatio-Temporal Biodiversity Data Model Using Object Relational Modeling Approach

机译:基于对象关系建模方法的时空生物多样性数据模型

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摘要

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.
机译:在生物多样性信息学范围内,自然历史收集信息和类似信息的复杂性给通过数据库系统有效管理植物生物多样性数据提出了重大挑战。如今,许多应用程序需要数据建模工具来描述具有空间和/或时间工具的复杂对象。可以在地理信息系统(GIS),某些其他DBMS或其他研究领域中找到对此类要求的响应。地理信息系统(GIS)及其关联的数据集是用于绘制生物多样性图的非常强大的工具,本文的目的是使用三个重要的GIS功能(分析,数据集成和数据可视化)对此进行演示。其他一些传统数据库系统已广泛用于商业应用,但是那些模型无法满足生物学应用(生物多样性数据)的要求。但是,大多数现有模型仅部分满足空间或时间建模的要求。除了商业应用之外,为生物多样性数据管理设计的模型很少(例如OSHADI,BODHI,APASD),但是那些模型是关系模型,仅处理有关生物多样性数据的信息,不支持分析,监控,操纵和预测。生物多样性数据模型和GIS数据模型之间的集成可以增强生物多样性数据模型的分析,处理能力。本文提出了时空生物多样性数据模型的对象关系数据建模方法。

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