S. Bin, C. Stadler, L. Bühmann, and M. Martin. Proceedings of the 6th International Workshop on Geospatial Linked Data 2024 co-located with 21st Extended Semantic Web Conference (ESWC 2024), volume 3743 of CEUR Workshop Proceedings, Hersonissos, Greece, (May 2024)
Abstract
This paper explores the integration of geo-spatial data into RDF (Resource Description Framework) using Apache Jena, a popular Java-based framework for building Semantic Web applications. We explain the basic representation of geo-spatial data in RDF with a focus on both the new GeoSPARQL 1.1 standard and Apache Jena. Our investigation covers advanced techniques, such as transformation of coordinate reference systems, aggregation of geo-spatial data, creation of new geo-objects, and simplification of polygons. Additionally, we discuss the usage of the H3 Grid as a Discrete Global Grid System (DGGS) for geo-spatial conversion. Furthermore, we present performance optimisations specific to Apache Jena, including per-graph geo-indexing, improved geo-index serialization for faster startup times, and manual optimisation of geo-spatial queries. We conclude with a comparison of different geo-functions and outline future directions for enhancing geo-spatial data management in RDF.
%0 Conference Paper
%1 bin2024geosparql
%A Bin, Simon
%A Stadler, Claus
%A Bühmann, Lorenz
%A Martin, Michael
%B Proceedings of the 6th International Workshop on Geospatial Linked Data 2024 co-located with 21st Extended Semantic Web Conference (ESWC 2024)
%C Hersonissos, Greece
%D 2024
%E Homburg, Timo
%E Yaman, Beyza
%E Sherif, Mohamed Ahmed
%E Ngomo, Axel-Cyrille Ngonga
%K buehmann es group_aksw martin mole sbin stadler
%T Getting practical with GeoSPARQL and Apache Jena
%U https://ceur-ws.org/Vol-3743/paper2.pdf
%V 3743
%X This paper explores the integration of geo-spatial data into RDF (Resource Description Framework) using Apache Jena, a popular Java-based framework for building Semantic Web applications. We explain the basic representation of geo-spatial data in RDF with a focus on both the new GeoSPARQL 1.1 standard and Apache Jena. Our investigation covers advanced techniques, such as transformation of coordinate reference systems, aggregation of geo-spatial data, creation of new geo-objects, and simplification of polygons. Additionally, we discuss the usage of the H3 Grid as a Discrete Global Grid System (DGGS) for geo-spatial conversion. Furthermore, we present performance optimisations specific to Apache Jena, including per-graph geo-indexing, improved geo-index serialization for faster startup times, and manual optimisation of geo-spatial queries. We conclude with a comparison of different geo-functions and outline future directions for enhancing geo-spatial data management in RDF.
@inproceedings{bin2024geosparql,
abstract = {This paper explores the integration of geo-spatial data into RDF (Resource Description Framework) using Apache Jena, a popular Java-based framework for building Semantic Web applications. We explain the basic representation of geo-spatial data in RDF with a focus on both the new GeoSPARQL 1.1 standard and Apache Jena. Our investigation covers advanced techniques, such as transformation of coordinate reference systems, aggregation of geo-spatial data, creation of new geo-objects, and simplification of polygons. Additionally, we discuss the usage of the H3 Grid as a Discrete Global Grid System (DGGS) for geo-spatial conversion. Furthermore, we present performance optimisations specific to Apache Jena, including per-graph geo-indexing, improved geo-index serialization for faster startup times, and manual optimisation of geo-spatial queries. We conclude with a comparison of different geo-functions and outline future directions for enhancing geo-spatial data management in RDF.},
added-at = {2025-10-06T12:44:54.000+0200},
address = {Hersonissos, Greece},
author = {Bin, Simon and Stadler, Claus and B{\"u}hmann, Lorenz and Martin, Michael},
biburl = {https://www.bibsonomy.org/bibtex/2d548f72caa00c31c3c1d5317fadd715f/aksw},
booktitle = {Proceedings of the 6th International Workshop on Geospatial Linked Data 2024 co-located with 21st Extended Semantic Web Conference (ESWC 2024)},
editor = {Homburg, Timo and Yaman, Beyza and Sherif, Mohamed Ahmed and Ngomo, Axel-Cyrille Ngonga},
interhash = {7dfd4478898cc330a864990c6279cbbf},
intrahash = {d548f72caa00c31c3c1d5317fadd715f},
keywords = {buehmann es group_aksw martin mole sbin stadler},
month = may,
series = {{CEUR} Workshop Proceedings},
timestamp = {2025-10-06T12:44:54.000+0200},
title = {Getting practical with {G}eo{SPARQL} and {A}pache {J}ena},
url = {https://ceur-ws.org/Vol-3743/paper2.pdf},
volume = 3743,
year = 2024
}