Spatial data processing meets RDF graph exploration
Houssameddine Yousfi · Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing · 2022
Efficient processing of RDF data is a basic requirement for querying RDF knowledge graphs, which are today a centerpiece in the semantic processing of information on the Web. In this paper, we investigate the issue of efficient processing of RDF spatial data. Our aim is to extend the query evaluation strategy that relies on graph exploration to support spatial processing. We propose several methods to achieve this goal. We shown the drawbacks and advantages of each method via a few sample queries. Our first results show that the proposal that combines graph exploration and spatial indexing can give very good and promising results compared to existing approaches.