GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data - Technical Report

We introduce an approach to semantically represent and query raster data in a Semantic Web graph. We extend the GeoSPARQL vocabulary and query language to support raster data as a new type of geospatial data. We define new filter functions and illustrate our approach using several use cases on real-world data sets. Finally, we describe a prototypical implementation and validate the feasibility of our approach.

• Publication year

  2020

• Venue

  International Workshop on the Semantic Web

• Publication date

  2020-09-10

• Fields of study

  Geography, Computer Science, Environmental Science

• Identifiers
  DOI 10.1007/978-3-030-62419-4_15arXiv 2009.05032
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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