demonstration

An Efficient RDF Converter and SPARQL Endpoint for the Complete OpenStreetMap Data

Authors:

Hannah Bast,

Patrick Brosi,

Johannes Kalmbach,

Axel LehmannAuthors Info & Claims

SIGSPATIAL '21: Proceedings of the 29th International Conference on Advances in Geographic Information Systems

Pages 536 - 539

https://doi.org/10.1145/3474717.3484256

Published: 04 November 2021 Publication History

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Abstract

We present osm2rdf, a tool for converting OpenStreetMap (OSM) data to RDF triples, along with an efficient SPARQL endpoint and a convenient user interface for formulating SPARQL queries on that data. Unlike previous tools, osm2rdf retains all data provided by OSM, including the complete object geometries. Optionally, the tool can output explicit triples realizing the spatial relations contains and intersects. We provide weekly updates of the data (for the whole planet and also per continent and per country) on https://osm2rdf.cs.uni-freiburg.de. The tool is publicly available on GitHub. The SPARQL endpoint is realized via the open-source SPARQL engine QLever. We extended QLever to enable the efficient geometric filtering of a result by a given axis-parallel rectangle. The QLever UI provides interactive context-sensitive autocompletion that helps constructing SPARQL queries without prior knowledge of the details of the data.

References

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Hannah Bast and Björn Buchhold. 2017. QLever: A Query Engine for Efficient SPARQL+Text Search. In CIKM 2017, Singapore, November 06 - 10.

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Hannah Bast, Johannes Kalmbach, Theresa Klumpp, Florian Kramer, and Niklas Schnelle. 2021. Efficient SPARQL Autocompletion via SPARQL. CoRR abs/2104.14595 (2021). https://arxiv.org/abs/2104.14595

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Milos Jovanovik, Timo Homburg, and Mirko Spasic. 2021. A GeoSPARQL Compliance Benchmark. CoRR abs/2102.06139 (2021). https://arxiv.org/abs/2102.06139

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Cited By

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Kim JHong SJeong SPark SYu K(2024)SGIR-Tree: Integrating R-Tree Spatial Indexing as Subgraphs in Graph Database Management SystemsISPRS International Journal of Geo-Information10.3390/ijgi1310034613:10(346)Online publication date: 27-Sep-2024
https://doi.org/10.3390/ijgi13100346
Jang HYu KKim J(2024)Generating Spatial Knowledge Graphs with 2D Indoor Floorplan Data: A Case Study on the Jeonju Express Bus TerminalISPRS International Journal of Geo-Information10.3390/ijgi1302005213:2(52)Online publication date: 9-Feb-2024
https://doi.org/10.3390/ijgi13020052
Brosi PBast H(2024)Large-scale Generation of Transit Maps from OpenStreetMap DataThe Cartographic Journal10.1080/00087041.2024.232576160:4(342-366)Online publication date: 2-Jul-2024
https://doi.org/10.1080/00087041.2024.2325761
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Index Terms

An Efficient RDF Converter and SPARQL Endpoint for the Complete OpenStreetMap Data
1. Information systems
  1. Data management systems
    1. Information integration
      1. Extraction, transformation and loading
  2. Information retrieval
    1. Users and interactive retrieval
      1. Search interfaces

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Information

Published In

SIGSPATIAL '21: Proceedings of the 29th International Conference on Advances in Geographic Information Systems

November 2021

700 pages

ISBN:9781450386647

DOI:10.1145/3474717

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 November 2021

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Demonstration
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Refereed limited

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SIGSPATIAL '21

Sponsor:

SIGSPATIAL

SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems

November 2 - 5, 2021

Beijing, China

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Overall Acceptance Rate 257 of 1,238 submissions, 21%

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Cited By

View all

Kim JHong SJeong SPark SYu K(2024)SGIR-Tree: Integrating R-Tree Spatial Indexing as Subgraphs in Graph Database Management SystemsISPRS International Journal of Geo-Information10.3390/ijgi1310034613:10(346)Online publication date: 27-Sep-2024
https://doi.org/10.3390/ijgi13100346
Jang HYu KKim J(2024)Generating Spatial Knowledge Graphs with 2D Indoor Floorplan Data: A Case Study on the Jeonju Express Bus TerminalISPRS International Journal of Geo-Information10.3390/ijgi1302005213:2(52)Online publication date: 9-Feb-2024
https://doi.org/10.3390/ijgi13020052
Brosi PBast H(2024)Large-scale Generation of Transit Maps from OpenStreetMap DataThe Cartographic Journal10.1080/00087041.2024.232576160:4(342-366)Online publication date: 2-Jul-2024
https://doi.org/10.1080/00087041.2024.2325761
Yang JJang HYu K(2023)Geographic Knowledge Base Question Answering over OpenStreetMapISPRS International Journal of Geo-Information10.3390/ijgi1301001013:1(10)Online publication date: 26-Dec-2023
https://doi.org/10.3390/ijgi13010010
Bast HBrosi PKalmbach JLehmann ADamiani MRenz MEldawy AKröger PNascimento M(2023)Efficient Interactive Visualization of Large Geospatial Query ResultsProceedings of the 31st ACM International Conference on Advances in Geographic Information Systems10.1145/3589132.3625594(1-4)Online publication date: 22-Dec-2023
https://doi.org/10.1145/3589132.3625594
Siopi MEllinoudis DPratikakis IAmanatiadis A(2023)A study on high definition maps' standards and specifications for autonomous vehicles2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS)10.1109/COINS57856.2023.10189236(1-7)Online publication date: 23-Jul-2023
https://doi.org/10.1109/COINS57856.2023.10189236
Wardani DMarshallia MWijayanto ASetyadi H(2022)Semi-Automatic Generating Semantic Markup Webpage from Structured Data with Semantic Matching2022 14th International Conference on Information Technology and Electrical Engineering (ICITEE)10.1109/ICITEE56407.2022.9954103(85-90)Online publication date: 18-Oct-2022
https://doi.org/10.1109/ICITEE56407.2022.9954103

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