Matches in Ruben’s data for { ?s ?p ?o }
- 978-3-319-60131-1_26 title "Public Transit Route Planning through Lightweight Linked Data Interfaces".
- 978-3-319-60131-1_26 isPartOf proceedings_of_the_17th_international_conference_on_web_engineering.
- 978-3-319-60131-1_26 name "Public Transit Route Planning through Lightweight Linked Data Interfaces".
- 978-3-319-60131-1_26 label "Public Transit Route Planning through Lightweight Linked Data Interfaces".
- 978-3-319-60131-1_26 name "Public Transit Route Planning through Lightweight Linked Data Interfaces".
- 978-3-319-60131-1_26 topic public_transport.
- 978-3-319-60131-1_26 topic Linked_Connections.
- 978-3-319-60131-1_26 topic route_planning.
- 978-3-319-60131-1_26 topic Hypermedia.
- 978-3-319-60131-1_26 topic reuse.
- 978-3-319-60131-1_26 topic Web_API.
- 978-3-319-60131-1_26 topic open_data.
- 978-3-319-60131-1_26 topic Research.
- 978-3-319-60131-1_26 topic Linked_Data.
- 978-3-319-60131-1_26 subject public_transport.
- 978-3-319-60131-1_26 subject Linked_Connections.
- 978-3-319-60131-1_26 subject route_planning.
- 978-3-319-60131-1_26 subject Hypermedia.
- 978-3-319-60131-1_26 subject reuse.
- 978-3-319-60131-1_26 subject Web_API.
- 978-3-319-60131-1_26 subject open_data.
- 978-3-319-60131-1_26 subject Research.
- 978-3-319-60131-1_26 subject Linked_Data.
- 978-3-319-60131-1_26 authorList b0_b2417.
- 978-3-319-60131-1_26 topic public_transport.
- 978-3-319-60131-1_26 topic Linked_Connections.
- 978-3-319-60131-1_26 topic route_planning.
- 978-3-319-60131-1_26 topic Hypermedia.
- 978-3-319-60131-1_26 topic reuse.
- 978-3-319-60131-1_26 topic Web_API.
- 978-3-319-60131-1_26 topic open_data.
- 978-3-319-60131-1_26 topic Research.
- 978-3-319-60131-1_26 topic Linked_Data.
- 978-3-319-60131-1_26 abstract "While some public transit data publishers only provide a data dump – which only few reusers can afford to integrate within their applications – others provide a use case limiting origin-destination route planning API. The Linked Connections framework instead introduces a hypermedia API, over which the extendable base route planning algorithm “Connections Scan Algorithm” can be implemented. We compare the CPU usage and query execution time of a traditional server-side route planner with the CPU time and query execution time of a Linked Connections interface by evaluating query mixes with increasing load. We found that, at the expense of a higher bandwidth consumption, more queries can be answered using the same hardware with the Linked Connections server interface than with an origin-destination API, thanks to an average cache hit rate of 78%. The findings from this research show a cost-efficient way of publishing transport data that can bring federated public transit route planning at the fingertips of anyone.".
- 978-3-319-60131-1_26 datePublished "2017".
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