论文标题
三维地理空间与吉达空间相互联系
Three-dimensional Geospatial Interlinking with JedAI-spatial
论文作者
论文摘要
地理空间数据构成了（语义）Web数据的相当一部分，但是到目前为止，其源在链接的开放数据云中的互联段不足。地理空间相互链接旨在通过将几何形状与拓扑关系相关联，例如尺寸扩展的9交流模型。由于其二次时间的复杂性，各种算法旨在有效地进行地理空间相互联系。 We present JedAI-spatial, a novel, open-source system that organizes these algorithms according to three dimensions: (i) Space Tiling, which determines the approach that reduces the search space, (ii) Budget-awareness, which distinguishes interlinking algorithms into batch and progressive ones, and (iii) Execution mode, which discerns between serial algorithms, running on a single CPU-core, and parallel那些，在Apache Spark上运行。我们分析地描述了Jedai-Spatial的体系结构和功能，并进行彻底的实验，以提供有关其算法相对性能的有趣见解。
Geospatial data constitutes a considerable part of (Semantic) Web data, but so far, its sources are inadequately interlinked in the Linked Open Data cloud. Geospatial Interlinking aims to cover this gap by associating geometries with topological relations like those of the Dimensionally Extended 9-Intersection Model. Due to its quadratic time complexity, various algorithms aim to carry out Geospatial Interlinking efficiently. We present JedAI-spatial, a novel, open-source system that organizes these algorithms according to three dimensions: (i) Space Tiling, which determines the approach that reduces the search space, (ii) Budget-awareness, which distinguishes interlinking algorithms into batch and progressive ones, and (iii) Execution mode, which discerns between serial algorithms, running on a single CPU-core, and parallel ones, running on top of Apache Spark. We analytically describe JedAI-spatial's architecture and capabilities and perform thorough experiments to provide interesting insights about the relative performance of its algorithms.
