Ghent University Academic Bibliography

Your filters: cql: author exact 3136A364-F0EE-11E1-A9DE-61C894A0A6B4 or (type any "bookEditor issueEditor" and edito... cql: keyword exact "public transport"

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- Journal Article
- A1
- open access
Publishing public transport data on the Web with the Linked Connections framework

Julian Andres Rojas Melendez (UGent) , Harm Delva, Pieter Colpaert (UGent) and Ruben Verborgh (UGent)

(2023) SEMANTIC WEB. 14(4). p.659-693
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Efficient live public transport data sharing for route planning on the Web

Julian Andres Rojas Melendez (UGent) , Dylan Van Assche (UGent) , Harm Delva, Pieter Colpaert (UGent) and Ruben Verborgh (UGent)

(2020) WEB ENGINEERING, ICWE 2020. In Lecture Notes in Computer Science 12128. p.321-336
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Generating public transport data based on population distributions for RDF benchmarking

Ruben Taelman (UGent) , Pieter Colpaert (UGent) , Erik Mannens (UGent) and Ruben Verborgh (UGent)

(2019) SEMANTIC WEB. 10(2). p.305-328
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Public transit route planning through lightweight linked data interfaces

Pieter Colpaert (UGent) , Ruben Verborgh (UGent) and Erik Mannens (UGent)

(2017) Web engineering, 17th International Conference, ICWE 2017, Rome, Italy, June 5-8, 2017, Proceedings. In Lecture Notes in Computer Science 10360. p.403-411
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- Conference Paper
- P1
- open access
Predicting train occupancies based on query logs and external data sources

Gilles Vandewiele (UGent) , Joachim Van Herwegen (UGent) , Femke Ongenae (UGent) , Pieter Colpaert (UGent) , Ruben Verborgh (UGent) , Filip De Turck (UGent) , Olivier Janssens (UGent) and Erik Mannens (UGent)

(2017) WWW'17 COMPANION : PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB. p.1469-1474

Academic Bibliography

Publishing public transport data on the Web with the Linked Connections framework

Efficient live public transport data sharing for route planning on the Web

Generating public transport data based on population distributions for RDF benchmarking

Public transit route planning through lightweight linked data interfaces

Predicting train occupancies based on query logs and external data sources

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