Abstract
The semantic web data and the SPARQL query language allow users to write precise queries. However, the lack of spatial information limits the use of the semantic web data on position-oriented query. In this paper, we introduce spatial SPARQL, a variant of SPARQL language, for querying spatial information integrated RDF data. Besides, we design a novel index SS-tree for evaluating the spatial queries. Based on the index, we propose a search algorithm. The experimental results show the effectiveness and the efficiency of our approach. © Springer-Verlag 2013.
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CITATION STYLE
Wang, D., Zou, L., Feng, Y., Shen, X., Tian, J., & Zhao, D. (2013). S-store: An engine for large RDF graph integrating spatial information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7826 LNCS, pp. 31–47). https://doi.org/10.1007/978-3-642-37450-0_3
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