Ruben Verborgh’s data

Matches in Ruben’s data for { <https://ruben.verborgh.org/publications/taelman_cold_2016/#publication> ?p ?o }

• publication author me.
• publication author me.
• publication author erik_mannens.
• publication author me.
• publication creator me.
• publication creator me.
• publication creator erik_mannens.
• publication creator me.
• publication about query_processing.
• publication about Representational_state_transfer.
• publication about SPARQL.
• publication about Linked_Data.
• publication author me.
• publication author me.
• 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.
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• publication P50 me.
• publication P50 erik_mannens.
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• publication maker me.
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• publication maker erik_mannens.
• publication maker me.
• publication title "Multidimensional Interfaces for Selecting Data within Ordinal Ranges".
• publication isPartOf proceedings_of_the_7th_international_workshop_on_consuming_linked_data.
• publication name "Multidimensional Interfaces for Selecting Data within Ordinal Ranges".
• publication label "Multidimensional Interfaces for Selecting Data within Ordinal Ranges".
• publication name "Multidimensional Interfaces for Selecting Data within Ordinal Ranges".
• publication topic query_processing.
• publication topic Representational_state_transfer.
• publication topic SPARQL.
• publication topic Linked_Data.
• publication subject query_processing.
• publication subject Representational_state_transfer.
• publication subject SPARQL.
• publication subject Linked_Data.
• publication authorList b0_b2411.
• publication topic query_processing.
• publication topic Representational_state_transfer.
• publication topic SPARQL.
• publication topic Linked_Data.
• publication abstract "Linked Data interfaces exist in many flavours, as evidenced by subject pages, SPARQL endpoints, triple pattern interfaces, and data dumps. These interfaces are mostly used to retrieve parts of a complete dataset, such parts can for example be defined by ranges in one or more dimensions. Filtering Linked Data by dimensions such as time range, geospatial area, or genomic location, requires the lookup of data within ordinal ranges. To make retrieval by such ranges generic and cost-efficient, we propose a REST solution in-between looking up data within ordinal ranges entirely on the server, or entirely on the client. To this end, we introduce a method for extending any Linked Data interface with an n-dimensional interface-level index such that n-dimensional ordinal data can be selected using n-dimensional ranges. We formally define Range Gates and Range Fragments and theoretically evaluate the cost-efficiency of hosting such an interface. By adding a multidimensional index to a Linked Data interface for multidimensional ordinal data, we found that we can get benefits from both worlds: the expressivity of the server raises, yet remains more cost-efficient than an interface providing the full functionality on the server-side. Furthermore, the client now shares in the effort to filter the data. This makes query processing becomes more flexible to the end-user, because the query plan can be altered by the engine. In future work we hope to apply Range Gates and Range Fragments to real-world interfaces to give quicker access to data within ordinal ranges.".
• publication datePublished "2016".
• publication mainEntityOfPage taelman_cold_2016.
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• publication page taelman_cold_2016.
• publication number "1666".
• publication volume "1666".
• publication locator "1666".
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• publication position "1666".
• publication volumeNumber "1666".