论文标题
用于求解的空间RDF数据的多维富集 - 完整版本
Multidimensional Enrichment of Spatial RDF Data for SOLAP -- Full Version
论文作者
论文摘要
大量空间数据和多维数据正在在语义网上发布，这为高级分析带来了新的机会，例如空间在线分析处理（SOLAP）。 RDF数据立方体（QB）和QB4OLAP词汇已被广泛用于注释和发布统计和多维RDF数据。尽管此类统计数据集可能具有空间信息，例如坐标，但缺乏QB4OLAP中的空间语义和空间多维概念，QB可阻止用户使用SPARQL对空间数据采用Solap查询。另一方面，QB4Solap词汇完全支持语义网络上的空间和多维数据，并使用户能够使用SPARQL中的Solap Operator查询端点。为了弥合QB/QB4OLAP和QB4SOLAP之间的差距，我们提出了一个RDF2Solap富集模型，该模型会自动用QB4Solap注释空间多维概念，并因此可以在语义Web上的现有QB和QB4OLAP数据上进行solap。此外，我们介绍和评估广泛的富集算法，并将其应用于涉及具有复杂几何类型的政府开放数据的非平凡的现实世界中用例。
Large volumes of spatial data and multidimensional data are being published on the Semantic Web, which has led to new opportunities for advanced analysis, such as Spatial Online Analytical Processing (SOLAP). The RDF Data Cube (QB) and QB4OLAP vocabularies have been widely used for annotating and publishing statistical and multidimensional RDF data. Although such statistical data sets might have spatial information, such as coordinates, the lack of spatial semantics and spatial multidimensional concepts in QB4OLAP and QB prevents users from employing SOLAP queries over spatial data using SPARQL. The QB4SOLAP vocabulary, on the other hand, fully supports annotating spatial and multidimensional data on the Semantic Web and enables users to query endpoints with SOLAP operators in SPARQL. To bridge the gap between QB/QB4OLAP and QB4SOLAP, we propose an RDF2SOLAP enrichment model that automatically annotates spatial multidimensional concepts with QB4SOLAP and in doing so enables SOLAP on existing QB and QB4OLAP data on the Semantic Web. Furthermore, we present and evaluate a wide range of enrichment algorithms and apply them on a non-trivial real-world use case involving governmental open data with complex geometry types.
