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Interpreting Heterogeneous Geospatial Data Using Semantic Web Technologies

机译:使用语义Web技术解释异构地理空间数据

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The paper presents work on implementation of semantic technologies within a geospatial environment to provide a common base for further semantic interpretation. The work adds on the current works in similar areas where priorities are more on spatial data integration. We assert that having a common unified semantic view on heterogeneous datasets provides a dimension that allows us to extend beyond conventional concepts of searchability, reusability, composability and interoperability of digital geospatial data. It provides contextual understanding on geodata that will enhance effective interpretations through possible reasoning capabilities. We highlight this through use cases in disaster management and planned land use that are significantly different. This paper illustrates the work that firstly follows existing Semantic Web standards when dealing with vector geodata and secondly extends current standards when dealing with raster geodata and more advanced geospatial operations.
机译:本文介绍了在地理空间环境中实施语义技术的工作,从而为进一步的语义解释提供了公共基础。这项工作是对类似领域的当前工作的补充,在这些领域中,优先考虑的是空间数据集成。我们断言,在异构数据集上具有统一的统一语义视图提供了一个维度,该维度使我们可以扩展到数字地理空间数据的可搜索性,可重用性,可组合性和互操作性的常规概念。它提供了对地理数据的上下文理解,可以通过可能的推理功能来增强有效的解释。我们通过灾难管理和规划的土地使用中的用例,它们有很大的不同,从而突出了这一点。本文说明了在处理矢量地理数据时首先遵循现有语义Web标准的工作,其次在处理栅格地理数据和更高级的地理空间操作时扩展了当前的标准。

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