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Reasoning with Place Information on the Linked Data Web

机译:使用有关链接数据Web的信息的推理

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The Linked Data Web (LDW) is an evolution of the traditional Web from a global information space of linked documents to one where both documents and data are linked. A significant amount of geographic information about places are currently being published on this LDW. These are used to qualify the location of other types of datasets. This paper examines the limitations in the nature of location representation in some typical examples of these Resource Description Framework (RDF) resources, primarily resulting from the simplified geometric representation of location and the incomplete and random use of spatial relationships to link place information. The paper proposes a qualitative model of place location that enforces an ordered representation of relative spatial relationships between places. The model facilitates the application of qualitative spatial reasoning on places to extract a potentially large percentage of implicit links between place resources, thus allowing place information to be linked and to be explored more fully and more consistently than what is currently possible. The paper describes the model and presents experimental results demonstrating the effectiveness of the model on realistic examples of geospatial RDF resources.
机译:链接数据Web(LDW)是传统Web从链接文档的全局信息空间的演变到文档和数据链接的一个。关于此LDW目前正在发布有关地点的大量地理信息。这些用于限定其他类型数据集的位置。本文研究了这些资源描述框架(RDF)资源的一些典型示例中的位置表示性质的局限性,主要由位置的简化几何表示和不完整和随机使用空间关系来链接地点信息。本文提出了一个定性的地方地点模型,该地点是利用地方之间的相对空间关系的有序表示。该模型促进了在地方资源之间提取潜在大百分比的隐式链接的地方应用了定性空间推理,从而允许将信息与当前可能的信息更全面且更始终如一。本文介绍了模型,并提出了实验结果,证明了模型在地理空间RDF资源实际示例中的有效性。

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