SMART-KG: Hybrid Shipping for SPARQL Querying on the Web

Amr Azzam, Javier David Fernandez Garcia, Maribel Acosta, Martin Beno, Axel Polleres

Publikation: Beitrag in Buch/KonferenzbandBeitrag in Konferenzband

Abstract

While Linked Data (LD) provides standards for publishing (RDF) and (SPARQL) querying Knowledge Graphs (KGs) on the Web, serving, accessing and processing such open, decentralized KGs is often practically impossible, as query timeouts on publicly available SPARQL endpoints show. Alternative solutions such as Triple Pattern Fragments (TPF) attempt to tackle the problem of availability by pushing query processing workload to the client side, but suffer from unnecessary transfer of irrelevant data on complex queries with large intermediate results. In this paper we present smart-KG, a novel approach to share the load between servers and clients, while significantly reducing data transfer volume, by combining TPF with shipping compressed KG partitions. Our evaluations show that smart-KG outperforms state-of-the-art client-side solutions and increases server-side availability towards more cost-effective and balanced hosting of open and decentralized KGs.
OriginalspracheEnglisch
Titel des SammelwerksProceedings of The Web Conference 2020
Herausgeber*innen Association for Computing Machinery
ErscheinungsortNew York
Seiten984 - 994
DOIs
PublikationsstatusVeröffentlicht - 2020

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