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

@article{Homburg2020GeoSPARQLSS,
  title={GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data - Technical Report},
  author={Timo Homburg and Steffen Staab and Daniel Janke},
  journal={ArXiv},
  year={2020},
  volume={abs/2009.05032}
}
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. 

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TLDR
Motivating change requests and actual resultant updates in the candidate version 1.1 of the GeoSPARQL standard are described alongside reference implementations and usage examples.

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GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale

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The GeoVectors corpus captures semantic and geographic dimensions of OSM entities and makes these entities directly accessible to machine learning algorithms and semantic applications, and provides a SPARQL endpoint that offers direct access to the semantic and latent representations of geographic entities in OSM.

Region-Based Merging of Open-Domain Terminological Knowledge

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  • Computer Science
    European Conference on Knowledge Management
  • 2022
TLDR
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