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Object-relational Features for Modeling and Analysis of Spatio-temporal Data

机译:时空数据建模和分析的对象关系特征

摘要

The age of discovery, description, and classification of biodiversity is entering a new phase. In responding to the importance and uses of the large number of biodiversity data of Malaysia make it essential for their biodiversity to be conserved. In order to manage large number of biodiversity data, it is essential to develop a data model which is a new integrated and support spatio-temporal data. Recently, we propose a conceptual spatio-temporal objectrelational biodiversity data model and which is being tested with Malaysian biodiversity data and has been loaded to oracle database. The main objectives of this paper are new aspects of using object-relational feature of the underlying database management system Oracle to improve the extensibility and flexibility of data models, enhance interoperability and analyzing potential as well as to ensure consistency by defining standards based on abstract data types. The object-relational extension of data models can be combined with data pyramid framework techniques to analyze present, past and future data. In addition to this, by using this model forest department, researchers, as well as natural recourses will be helpful.
机译:生物多样性的发现,描述和分类的时代进入了一个新阶段。在回应马来西亚大量生物多样性数据的重要性和用途时,使其生物多样性得到保护至关重要。为了管理大量的生物多样性数据,必须开发一个数据模型,该模型是一种新的集成并支持时空数据的模型。最近,我们提出了一个概念性的时空对象关系生物多样性数据模型,该模型正在与马来西亚生物多样性数据进行测试,并已加载到oracle数据库中。本文的主要目标是使用底层数据库管理系统Oracle的对象关系功能来改善数据模型的可扩展性和灵活性,增强互操作性和分析潜力以及通过基于抽象数据定义标准来确保一致性的新方面。类型。数据模型的对象关系扩展可以与数据金字塔框架技术结合使用,以分析当前,过去和将来的数据。除此之外,通过使用该模型森林部门,研究人员以及自然资源也将有所帮助。

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