The Impact of an Extra Feature on the Scalability of Linked Connections
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.
full text BibTeX other citation formats
Published in 2016 in Proceedings of the 7th International Workshop on Consuming Linked Data.
- Linked Data
- reuse
- route planning
- Linked Connections
- research
Read this article online
- Read the full text online.
- Request a digital copy of this article.
- Comment on this article.
Cite this article in your work
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},
}
Alternatively, pick a reference of your choice below:
- ACM
- Pieter Colpaert, Sander Ballieu, Ruben Verborgh, and Erik Mannens. 2016. The Impact of an Extra Feature on the Scalability of Linked Connections. In Proceedings of the 7th International Workshop on Consuming Linked Data (CEUR Workshop Proceedings).
- 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).
- 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.
- 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).
- 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, edited by Olaf Hartig et al., vol. 1666, 2016.
Discuss this article
- Discover all publications by Ruben Verborgh.
- Find related articles on Google Scholar.
- Post your questions or comments below.