Ruben Verborgh’s data

Matches in Ruben’s data for { <https://ruben.verborgh.org/publications/taelman_swj_2021/#publication> ?p ?o }

• publication author me.
• publication author thibault_mahieu.
• publication author martin_vanbrabant.
• publication author me.
• publication creator me.
• publication creator thibault_mahieu.
• publication creator martin_vanbrabant.
• publication creator me.
• publication about RDF.
• publication about World_Wide_Web.
• publication author me.
• publication author thibault_mahieu.
• publication author martin_vanbrabant.
• publication author me.
• publication coparticipatesWith me.
• publication coparticipatesWith thibault_mahieu.
• publication coparticipatesWith martin_vanbrabant.
• publication coparticipatesWith me.
• 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 thibault_mahieu.
• publication P50 martin_vanbrabant.
• publication P50 me.
• publication maker me.
• publication maker thibault_mahieu.
• publication maker martin_vanbrabant.
• publication maker me.
• publication title "Optimizing Storage of RDF Archives using Bidirectional Delta Chains".
• publication isPartOf semantic_web_journal.
• publication name "Optimizing Storage of RDF Archives using Bidirectional Delta Chains".
• publication label "Optimizing Storage of RDF Archives using Bidirectional Delta Chains".
• publication name "Optimizing Storage of RDF Archives using Bidirectional Delta Chains".
• publication topic RDF.
• publication topic World_Wide_Web.
• publication subject RDF.
• publication subject World_Wide_Web.
• publication authorList b0_b1704.
• publication topic RDF.
• publication topic World_Wide_Web.
• publication abstract "Linked Open Datasets on the Web that are published as RDF can evolve over time. There is a need to be able to store such evolving RDF datasets, and query across their versions. Different storage strategies are available for managing such versioned datasets, each being efficient for specific types of versioned queries. In recent work, a hybrid storage strategy has been introduced that combines these different strategies to lead to more efficient query execution for all versioned query types at the cost of increased ingestion time. While this trade-off is beneficial in the context of Web querying, it suffers from exponential ingestion times in terms of the number of versions, which becomes problematic for RDF datasets with many versions. As such, there is a need for an improved storage strategy that scales better in terms of ingestion time for many versions. We have designed, implemented, and evaluated a change to the hybrid storage strategy where we make use of a bidirectional delta chain instead of the default unidirectional delta chain. In this article, we introduce a concrete architecture for this change, together with accompanying ingestion and querying algorithms. Experimental results from our implementation show that the ingestion time is significantly reduced. As an additional benefit, this change also leads to lower total storage size and even improved query execution performance in some cases. This work shows that modifying the structure of delta chains within the hybrid storage strategy can be highly beneficial for RDF archives. In future work, other modifications to this delta chain structure deserve to be investigated, to further improve the scalability of ingestion and querying of datasets with many versions.".
• publication mainEntityOfPage taelman_swj_2021.
• publication sameAs publication.
• publication isPrimaryTopicOf taelman_swj_2021.
• publication page taelman_swj_2021.