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Transforming Conceptual Spatiotemporal Model into Object Model with Semantic Keeping

机译:保留语义的时空概念模型转换为对象模型

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Our work is developed in the context of spatiotemporal data modeling and more particularly of urban data modeling. Our goal is to propose a methodology describing the overall process of urban data modeling from the design phase to the implementation in an information system. For that, we propose, within a GIS, an approach based on a conceptual model specific to spatiotemporal data modeling MADS, and on an ODBMS for storing and manipulating data. MADS uses spatial and temporal types that are more precise than those of programming languages on which are based ODBMS. MADS is semantically richer than the object model, and the purpose of this paper is to present the transformation rules of this conceptual model into an object model that keeps (as close as possible) its semantics.
机译:我们的工作是在时空数据建模,尤其是城市数据建模的背景下进行的。我们的目标是提出一种方法,描述从设计阶段到信息系统中实施的城市数据建模的整个过程。为此,我们建议在GIS中基于特定于时空数据建模MADS的概念模型以及基于ODBMS的存储和处理数据的方法。 MADS使用的空间和时间类型比基于ODBMS的编程语言更精确。 MADS在语义上比对象模型丰富,并且本文的目的是将这种概念模型的转换规则呈现为保持(尽可能接近)其语义的对象模型。

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