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10.1145/3041021.3054210acmotherconferencesArticle/Chapter ViewAbstractPublication PagesthewebconfConference Proceedingsconference-collections
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PoDiGG: A Public Transport RDF Dataset Generator

Published: 03 April 2017 Publication History

Abstract

A large amount of public transport data is made available by many different providers, which makes RDF a great method for integrating these datasets. Furthermore, this type of data provides a great source of information that combines both geospatial and temporal data. These aspects are currently undertested in RDF data management systems, because of the limited availability of realistic input datasets. In order to bring public transport data to the world of benchmarking, we need to be able to create synthetic variants of this data. In this paper, we introduce a dataset generator with the capability to create realistic public transport data. This dataset generator, and the ability to configure it on different levels, makes it easier to use public transport data for benchmarking with great flexibility.

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Cited By

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  • (2017)Benchmarking Faceted Browsing Capabilities of TriplestoresProceedings of the 13th International Conference on Semantic Systems10.1145/3132218.3132242(128-135)Online publication date: 11-Sep-2017
  • (2017)MOCHA2017: The Mighty Storage Challenge at ESWC 2017Semantic Web Challenges10.1007/978-3-319-69146-6_1(3-15)Online publication date: 31-Oct-2017

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Published In

cover image ACM Other conferences
WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion
April 2017
1738 pages
ISBN:9781450349147

Sponsors

  • IW3C2: International World Wide Web Conference Committee

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International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

Publication History

Published: 03 April 2017

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Author Tags

  1. benchmark
  2. dataset generator
  3. linked data
  4. public transport
  5. rdf

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  • Poster

Funding Sources

  • EU H2020

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WWW '17
Sponsor:
  • IW3C2

Acceptance Rates

WWW '17 Companion Paper Acceptance Rate 164 of 966 submissions, 17%;
Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

View all
  • (2017)Benchmarking Faceted Browsing Capabilities of TriplestoresProceedings of the 13th International Conference on Semantic Systems10.1145/3132218.3132242(128-135)Online publication date: 11-Sep-2017
  • (2017)MOCHA2017: The Mighty Storage Challenge at ESWC 2017Semantic Web Challenges10.1007/978-3-319-69146-6_1(3-15)Online publication date: 31-Oct-2017

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