Finding spatial equivalences across multiple RDF datasets

Terra Cognita 2011.

地球科学;计算机科学

Juan Martn Salas1 and Andreas Harth2

Others  :  http://ceur-ws.org/Vol-798/paper10.pdf
PID  :  40843

学科分类：计算机科学（综合）

来源: CEUR

【 摘 要 】

The importance of geospatial information is being reflected on the growing amount of spatial datasets on the Semantic Web. However, the high variability of the data presents challenges for integration. In this paper, we address the problem of finding spatial equivalences between geospatial RDF datasets. First, we present mappings between our NeoGeo vocabulary and the vocabularies used by some well-known spatial RDF datasets. Second, we describe a method to find spatially co-located features across spatial RDF datasets. To find equivalences, we rely on analyzing the Hausdorff distance distribution in the compared datasets, with the objective of finding a sensible criterion that aids the recognition of equivalent regions.