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A Conceptual Framework to Support Semantic Interoperability of Geospatial Datacubes

机译:支持地理空间数据多维数据集语义互操作性的概念框架

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摘要

Today, we observe a wide use of geospatial databases that are implemented in many forms (e.g. transactional centralized systems, distributed databases, multidimensional datacubes). Among those possibilities, the multidimensional datacube is more appropriate to support interactive analysis and to guide the organization's strategic decisions, especially when different epochs and levels of information granularity are involved. However, one may need to use several geospatial multidimensional datacubes which may be heterogeneous in design or content. Overcoming the heterogeneity problems in a manner that is transparent to users has been the principal aim of interoperability for the last fifteen years. In spite of successful initiatives and widespread use of standards, today's solutions do not address yet geospatial datacubes. This paper aims at describing the interoperability of geospatial datacubes, defining the semantic heterogeneity problems that may occur when using different geospatial datacubes, and proposing a conceptual framework to support semantic interoperability of these datacubes.
机译:今天,我们观察到以多种形式实现的地理空间数据库的广泛使用(例如,事务集中式系统,分布式数据库,多维数据多维数据集)。在这些可能性中,多维数据立方体更适合于支持交互式分析并指导组织的战略决策,尤其是在涉及不同时期和信息粒度级别时。但是,可能需要使用几个地理空间多维数据多维数据集,它们在设计或内容上可能是异构的。在过去的十五年中,以对用户透明的方式克服异构性问题一直是互操作性的主要目标。尽管有成功的举措和标准的广泛使用,但当今的解决方案仍无法解决地理空间数据多维数据集。本文旨在描述地理空间数据多维数据集的互操作性,定义使用不同地理空间数据多维数据集时可能出现的语义异质性问题,并提出一个概念框架来支持这些数据多维数据集的语义互操作性。

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