Ruben Verborgh’s data

Matches in Ruben’s data for { <https://ruben.verborgh.org/publications/hanski_icwe_2025/#publication> ?p ?o }

• publication author me.
• publication author jonni_hanski.
• publication author me.
• publication creator me.
• publication creator jonni_hanski.
• publication creator me.
• publication about decentralisation.
• publication about data_access.
• publication about Solid.
• publication about Linked_Data.
• publication author me.
• publication author jonni_hanski.
• publication author me.
• publication coparticipatesWith me.
• publication coparticipatesWith jonni_hanski.
• publication coparticipatesWith me.
• publication type ScholarlyArticle.
• publication type Article.
• publication type Document.
• publication type Q386724.
• publication type CreativeWork.
• publication type Document.
• publication type Work.
• publication type Document.
• publication P50 me.
• publication P50 jonni_hanski.
• publication P50 me.
• publication maker me.
• publication maker jonni_hanski.
• publication maker me.
• publication title "Link Traversal over Decentralised Environments using Restart-Based Query Planning".
• publication isPartOf proceedings_of_the_25th_international_conference_on_web_engineering.
• publication name "Link Traversal over Decentralised Environments using Restart-Based Query Planning".
• publication label "Link Traversal over Decentralised Environments using Restart-Based Query Planning".
• publication name "Link Traversal over Decentralised Environments using Restart-Based Query Planning".
• publication topic decentralisation.
• publication topic data_access.
• publication topic Solid.
• publication topic Linked_Data.
• publication subject decentralisation.
• publication subject data_access.
• publication subject Solid.
• publication subject Linked_Data.
• publication authorList b0_b1789.
• publication topic decentralisation.
• publication topic data_access.
• publication topic Solid.
• publication topic Linked_Data.
• publication abstract "With the emergence of decentralisation initiatives to address various issues around regulatory compliance and barriers of entry to data-driven markets, data access abstraction layers in the form of query engines are needed to assist in developing services on top of such environments. Prior work, however, has demonstrated significant network overhead during data retrieval in traversal-based query execution over decentralised Linked Data sources, dwarfing the relative impact of local processing and query optimisations. Certain decentralisation initiatives, however, offer an environment with seemingly sufficient structure to address this, allowing client-side query engines to attain measurable performance improvements through local optimisations. One example is the Solid initiative, offering distributed well-defined user data stores, helping traversal-based query execution approaches in efficiently locating and accessing query-relevant data. Within this work, we demonstrate the impact of client-side adaptive query planning optimisations within structured distributed environments, using the Solid ecosystem as an example, to highlight the potential for tangible improvements in traversal-based execution. Through the implementation of a restart-based query planning technique, we achieve average query execution time reductions of up to 36% compared to a baseline of unchanged query plan execution. Conversely, we also demonstrate how such techniques, when applied without robust cost-benefit estimation, can effectively double the query execution time. This illustrates the importance and potential of client-side techniques even in such distributed environments, and highlights the importance of further investigation in the direction of these techniques.".
• publication datePublished "2025".
• publication mainEntityOfPage hanski_icwe_2025.
• publication sameAs publication.
• publication isPrimaryTopicOf hanski_icwe_2025.
• publication page hanski_icwe_2025.