Matches in Ruben’s data for { <https://ruben.verborgh.org/publications/taelman_mepdaw_2016/#publication> ?p ?o }
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- publication author me.
- publication author me.
- publication author rik_van_de_walle.
- publication author erik_mannens.
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- publication creator me.
- publication creator me.
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- publication creator erik_mannens.
- publication creator me.
- publication about Triple_Pattern_Fragments.
- publication about SPARQL.
- publication about Linked_Data.
- publication author me.
- publication author me.
- publication author rik_van_de_walle.
- publication author erik_mannens.
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- publication type PublicationVolume.
- publication type ScholarlyArticle.
- publication type Article.
- publication type Document.
- publication type Document.
- publication type Document.
- publication type Q386724.
- publication type CreativeWork.
- publication type Work.
- publication P50 me.
- publication P50 me.
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- publication P50 erik_mannens.
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- publication maker me.
- publication maker me.
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- publication maker erik_mannens.
- publication maker me.
- publication title "Continuously Updating Query Results over Real-Time Linked Data".
- publication isPartOf proceedings_of_the_2nd_workshop_on_managing_the_evolution_and_preservation_of_the_data_web.
- publication name "Continuously Updating Query Results over Real-Time Linked Data".
- publication label "Continuously Updating Query Results over Real-Time Linked Data".
- publication name "Continuously Updating Query Results over Real-Time Linked Data".
- publication topic Triple_Pattern_Fragments.
- publication topic SPARQL.
- publication topic Linked_Data.
- publication subject Triple_Pattern_Fragments.
- publication subject SPARQL.
- publication subject Linked_Data.
- publication authorList b0_b2574.
- publication topic Triple_Pattern_Fragments.
- publication topic SPARQL.
- publication topic Linked_Data.
- publication abstract "Existing solutions to query dynamic Linked Data sources extend the SPARQL language, and require continuous server processing for each query. Traditional SPARQL endpoints accept highly expressive queries, contributing to high server cost. Extending these endpoints for time-sensitive queries increases the server cost even further. To make continuous querying over real-time Linked Data more affordable, we extend the low-cost Triple Pattern Fragments (TPF) interface with support for time-sensitive queries. In this paper, we discuss a framework on top of TPF that allows clients to execute SPARQL queries with continuously updating results. Our experiments indicate that this extension significantly lowers the server complexity. The trade-off is an increase in the execution time per query. We prove that by moving the complexity of continuously evaluating real-time queries over Linked Data to the clients and thus increasing the bandwidth usage, the cost of server-side interfaces is significantly reduced. Our results show that this solution makes real-time querying more scalable in terms of CPU usage for a large amount of concurrent clients when compared to the alternatives.".
- publication datePublished "2016".
- publication mainEntityOfPage taelman_mepdaw_2016.
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- publication page taelman_mepdaw_2016.
- publication number "1585".
- publication number "10".
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