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- 3041021.3054210 author me.
- 3041021.3054210 author erik_mannens.
- 3041021.3054210 author me.
- 3041021.3054210 creator me.
- 3041021.3054210 creator erik_mannens.
- 3041021.3054210 creator me.
- 3041021.3054210 about dataset_generator.
- 3041021.3054210 about benchmarking.
- 3041021.3054210 about public_transport.
- 3041021.3054210 about RDF.
- 3041021.3054210 author me.
- 3041021.3054210 author erik_mannens.
- 3041021.3054210 author me.
- 3041021.3054210 coparticipatesWith me.
- 3041021.3054210 coparticipatesWith erik_mannens.
- 3041021.3054210 coparticipatesWith me.
- 3041021.3054210 type ScholarlyArticle.
- 3041021.3054210 type Article.
- 3041021.3054210 type Document.
- 3041021.3054210 type Document.
- 3041021.3054210 type Document.
- 3041021.3054210 type Q386724.
- 3041021.3054210 type CreativeWork.
- 3041021.3054210 type Work.
- 3041021.3054210 P50 me.
- 3041021.3054210 P50 erik_mannens.
- 3041021.3054210 P50 me.
- 3041021.3054210 maker me.
- 3041021.3054210 maker erik_mannens.
- 3041021.3054210 maker me.
- 3041021.3054210 title "PoDiGG: A Public Transport RDF Dataset Generator".
- 3041021.3054210 isPartOf proceedings_of_the_26th_international_conference_on_world_wide_web_posters_and_demos.
- 3041021.3054210 name "PoDiGG: A Public Transport RDF Dataset Generator".
- 3041021.3054210 label "PoDiGG: A Public Transport RDF Dataset Generator".
- 3041021.3054210 name "PoDiGG: A Public Transport RDF Dataset Generator".
- 3041021.3054210 topic dataset_generator.
- 3041021.3054210 topic benchmarking.
- 3041021.3054210 topic public_transport.
- 3041021.3054210 topic RDF.
- 3041021.3054210 subject dataset_generator.
- 3041021.3054210 subject benchmarking.
- 3041021.3054210 subject public_transport.
- 3041021.3054210 subject RDF.
- 3041021.3054210 authorList b0_b2339.
- 3041021.3054210 topic dataset_generator.
- 3041021.3054210 topic benchmarking.
- 3041021.3054210 topic public_transport.
- 3041021.3054210 topic RDF.
- 3041021.3054210 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.".
- 3041021.3054210 datePublished "2017".
- 3041021.3054210 mainEntityOfPage taelman_www_poster_2017.
- 3041021.3054210 sameAs 3041021.3054210.
- 3041021.3054210 isPrimaryTopicOf taelman_www_poster_2017.
- 3041021.3054210 page taelman_www_poster_2017.