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Object-relation data model (ORDM) for Malaysian biodiversity data.ud

机译:马来西亚生物多样性数据的对象关系数据模型(ORDM)。 ud

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摘要

The economic importance and uses of the large number of biodiversity plant species of Malaysia make it essential for their biodiversity to be conserved. 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. In order to undertake the steps for biodiversity 'conservation such as identification of species, monitoring climate conditions, it is essential to efficiently manage the vast amount of biodiversity related data. This paper discusses about the object-relational conceptual design of biodiversity data model for long term stewardship of biodiversity information. A plenty of data models have been developed (such as BODHI, Oshadhi) which only support spatial data. In addition to this, most of the data models are relational model. The purpose of this research is to design a biodiversity data model that better facilitates the exploration and analysis of spatio-temporal biodiversity data by using object relational data model techniques. The goal of this study is to design a biodiversity model that is efficient for data management and able to integrate diverse set of spatio-temporal data that maybe required for analysis, and monitoring biodiversity data.
机译:马来西亚大量生物多样性植物物种的经济重要性和用途使其对生物多样性的保护至关重要。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对有效管理植物生物多样性数据提出了重大挑战。为了采取保护生物多样性的步骤,例如物种鉴定,气候条件监测,必须有效管理大量与生物多样性有关的数据。本文讨论了长期管理生物多样性信息的生物多样性数据模型的对象关系概念设计。已经开发了仅支持空间数据的大量数据模型(例如BODHI,Oshadhi)。除此之外,大多数数据模型都是关系模型。本研究的目的是设计一种生物多样性数据模型,该模型通过使用对象关系数据模型技术更好地促进时空生物多样性数据的探索和分析。这项研究的目的是设计一种生物多样性模型,该模型对于数据管理是有效的,并且能够集成可能需要分析和监视生物多样性数据的各种时空数据集。

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