SMART-KG: Hybrid Shipping for SPARQL Querying on the Web
Amr Azzam, Javier D. Fernández, Maribel Acosta, Martin Beno, Axel Polleres
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.
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Cited by top-tier papers5
- WiseKG: Balanced Access to Web Knowledge GraphsAmr Azzam, Christian Aebeloe, Gabriela Montoya, Ilkcan Keles et al.WWW 2021 · 21 citations
- Federated SPARQL Query Processing over Heterogeneous Linked Data FragmentsLars Heling, Maribel AcostaWWW 2022 · 11 citations
- Love-at-First-Sight: First Answers Without the Awkward Silence in Big Knowledge GraphsGiannis Vassiliou, Haridimos KondylakisVLDB 2026 · 1 citation
- Passage: Ensuring Completeness and Responsiveness of Public SPARQL Endpoints with SPARQL Continuation QueriesThi Hoang Thi Pham, Gabriela Montoya, Brice Nédelec, Hala Skaf-Molli et al.WWW 2025 · 1 citation
- Pistis: A Decentralized Knowledge Graph Platform Enabling Ownership-Preserving SPARQL QueryingEnyuan Zhou, Song Guo, Zicong Hong, Christian S. Jensen et al.VLDB 2025 · 1 citation
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