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An RDF Benchmark for Enriched Maritime Data

Published: 21 November 2023 Publication History

Abstract

This paper provides an RDF benchmark for triple stores for querying maritime data. The benchmark comes with an integrated data set of real-world data from diverse sources, which has been transformed to RDF triples, and a set of 15 SPARQL queries of varying complexity. Differently from previous available benchmarks that have focused on spatial RDF data, our work targets RDF data about trajectories of moving vessels, therefore the focus is on spatio-temporal RDF data. We present the process to generate the integrated data set, we delve into the details of the benchmark queries, and we provide evaluation results using a selected RDF triple store as a showcase. Furthermore, we make all data, queries and results publicly available to stimulate further research in the field.

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cover image ACM Conferences
EMODE '23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023
November 2023
50 pages
ISBN:9798400703478
DOI:10.1145/3615885
This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 November 2023

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Author Tags

  1. RDF benchmark
  2. spatio-temporal data
  3. maritime data

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