Matches in Ruben’s data for { ?s ?p ?o }
- 3184558.3191650 topic Linked_Data.
- 3184558.3191650 subject real_time_data.
- 3184558.3191650 subject federated_query_processing.
- 3184558.3191650 subject query_processing.
- 3184558.3191650 subject publication.
- 3184558.3191650 subject proof.
- 3184558.3191650 subject Representational_state_transfer.
- 3184558.3191650 subject open_data.
- 3184558.3191650 subject Linked_Data.
- 3184558.3191650 authorList b0_b2255.
- 3184558.3191650 topic real_time_data.
- 3184558.3191650 topic federated_query_processing.
- 3184558.3191650 topic query_processing.
- 3184558.3191650 topic publication.
- 3184558.3191650 topic proof.
- 3184558.3191650 topic Representational_state_transfer.
- 3184558.3191650 topic open_data.
- 3184558.3191650 topic Linked_Data.
- 3184558.3191650 abstract "For smart decision making, user agents need real-time and historic access to open data from sensors installed in the public domain. In contrast to a closed environment, for Open Data and federated query processing algorithms, the data publisher cannot anticipate in advance on specific questions, nor can it deal with a bad cost-efficiency of the server interface when data consumers increase. When publishing observations from sensors, different fragmentation strategies can be thought of depending on how the historic data needs to be queried. Furthermore, both publish/subscribe and polling strategies exist to publish real-time updates. Each of these strategies come with their own trade-offs regarding cost-efficiency of the server-interface, user-perceived performance and CPU use. A polling strategy where multiple observations are published in a paged collection was tested in a proof of concept for parking space availabilities. In order to understand the different resource trade-offs presented by publish/subscribe and polling publication strategies, we devised an experiment on two machines, for a scalability test. The preliminary results were inconclusive and suggest more large scale tests are needed in order to see a trend. While the large-scale tests will be performed in future work, the proof of concept helped to identify the technical Open Data principles for the 13 biggest cities in Flanders.".
- 3184558.3191650 datePublished "2018".
- 3184558.3191650 mainEntityOfPage rojas_wsp_2018.
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- 3308560.3316520 author me.
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- 3308560.3316520 about Linked_Data_Fragments.
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- 3308560.3316520 title "Open traffic lights: a strategy for publishing and preserving traffic lights data".
- 3308560.3316520 isPartOf proceedings_of_the_5th_workshop_on_managing_the_evolution_and_preservation_of_the_data_web.
- 3308560.3316520 name "Open traffic lights: a strategy for publishing and preserving traffic lights data".
- 3308560.3316520 label "Open traffic lights: a strategy for publishing and preserving traffic lights data".
- 3308560.3316520 name "Open traffic lights: a strategy for publishing and preserving traffic lights data".
- 3308560.3316520 topic Linked_Data_Fragments.
- 3308560.3316520 topic Linked_Data.
- 3308560.3316520 subject Linked_Data_Fragments.
- 3308560.3316520 subject Linked_Data.
- 3308560.3316520 authorList b0_b2172.
- 3308560.3316520 topic Linked_Data_Fragments.
- 3308560.3316520 topic Linked_Data.
- 3308560.3316520 abstract "For better traffic flow and making better policy decisions, the city of Antwerp is connecting traffic lights to the Internet. The live “time to green” only tells a part of the story: also the historical values need to be preserved and need to be made accessible to everyone. We propose (i) an ontology for describing the topology of an intersection and the signal timing of traffic lights, (ii) a specification to publish these historical and live data with Linked Data Fragments and (iii) a method to preserve the published data in the long-term. We showcase the applicability of our specification with the opentrafficlights.org project where an end-user can see the live count-down as well as a line chart showing the historic “time to green” of a traffic light. We found that publishing traffic lights data as time sorted Linked Data Fragments allow synchronizing and reusing an archive to retrieve historical observations. Long-term preservation with tape storage becomes feasible when archives shift from byte preservation to knowledge preservation by combining Linked Data Fragments.".
- 3308560.3316520 datePublished "2019".
- 3308560.3316520 mainEntityOfPage vandevyvere_mepdaw_2019.
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- 3308560.3316520 page vandevyvere_mepdaw_2019.
- 3323878.3325802 author me.
- 3323878.3325802 author me.
- 3323878.3325802 author wouter_maroy.
- 3323878.3325802 author gerald_haesendonck.
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- 3323878.3325802 creator wouter_maroy.
- 3323878.3325802 creator gerald_haesendonck.
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- 3323878.3325802 about RML.
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- 3323878.3325802 author wouter_maroy.
- 3323878.3325802 author gerald_haesendonck.
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