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Ruben Verborgh

The Impact of an Extra Feature on the Scalability of Linked Connections

by Pieter Colpaert, Sander Ballieu, Ruben Verborgh, and Erik Mannens

Calculating a public transit route involves taking into account user preferences: e.g., one might prefer trams over buses, one might prefer a slight detour to pass by their favorite coffee bar or one might only be interested in wheelchair accessible journeys. Traditional route planning interfaces do not expose enough features for these kind of questions to be answered. In previous work, we proposed a Linked Data interface, called Linked Connections, which allows user-agents to evaluate the route planning queries on the client-side, and thus allow for extra features to be implemented by data reusers. In this work, we study how and where these new features can be added to the Linked Connections framework. We researched this by adding the feature of wheelchair-accessibility both on server and client, and comparing these two solution on query execution time, cache performance and CPU usage on server and client. We found that for the use case of wheelchair-accessibility, there is no advantage of adding this feature on the server: the query execution time does not improve, while the cache hit rate lowers.

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Published in 2016 in Proceedings of the 7th International Workshop on Consuming Linked Data.

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Cite this article easily using its BibTeX entry:

@inproceedings{colpaert_cold_2016,
  title = {The Impact of an Extra Feature on the Scalability of {Linked Connections}},
  author = {Colpaert, Pieter and Ballieu, Sander and Verborgh, Ruben and Mannens, Erik},
  booktitle = {Proceedings of the 7th International Workshop on Consuming Linked Data},
  editor = {Hartig, Olaf and Sequeda, Juan and Hogan, Aidan},
  year = 2016,
  month = oct,
  series = {CEUR Workshop Proceedings},
  volume = 1666,
  issn = {1613-0073},
  url = {http://ceur-ws.org/Vol-1666/paper-05.pdf},
}

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IEEE
P. Colpaert, S. Ballieu, R. Verborgh, and E. Mannens, “The Impact of an Extra Feature on the Scalability of Linked Connections,” in Proceedings of the 7th International Workshop on Consuming Linked Data, 2016, vol. 1666.
ACM
Pieter Colpaert, Sander Ballieu, Ruben Verborgh, and Erik Mannens. 2016. The Impact of an Extra Feature on the Scalability of Linked Connections. In Olaf Hartig, Juan Sequeda, & Aidan Hogan, eds. Proceedings of the 7th International Workshop on Consuming Linked Data. CEUR Workshop Proceedings.
LNCS
Colpaert, P., Ballieu, S., Verborgh, R., Mannens, E.: The Impact of an Extra Feature on the Scalability of Linked Connections. In: Hartig, O., Sequeda, J., and Hogan, A. (eds.) Proceedings of the 7th International Workshop on Consuming Linked Data (2016).
APA
Colpaert, P., Ballieu, S., Verborgh, R., & Mannens, E. (2016). The Impact of an Extra Feature on the Scalability of Linked Connections. In O. Hartig, J. Sequeda, & A. Hogan (Eds.), Proceedings of the 7th International Workshop on Consuming Linked Data (Vol. 1666).
MLA
Colpaert, Pieter et al. “The Impact of an Extra Feature on the Scalability of Linked Connections.” Proceedings of the 7th International Workshop on Consuming Linked Data. Ed. Olaf Hartig, Juan Sequeda, and Aidan Hogan. Vol. 1666. 2016. Print. CEUR Workshop Proceedings.

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