Quotation Azzam, Amr, Fernandez Garcia, Javier David, Acosta, Maribel, Beno, Martin, Polleres, Axel. 2020. SMART-KG: Hybrid Shipping for SPARQL Querying on the Web. In Proceedings of The Web Conference 2020, Hrsg. Association for Computing Machinery, 984-994. New York: None.


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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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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title SMART-KG: Hybrid Shipping for SPARQL Querying on the Web
Title of whole publication Proceedings of The Web Conference 2020
Editor Association for Computing Machinery
Page from 984
Page to 994
Location New York
Year 2020
ISBN 978-1-4503-7023-3
URL https://doi.org/10.1145/3366423.3380177
Open Access N

Associations

People
Azzam, Amr (Details)
Fernandez Garcia, Javier David (Former researcher)
Beno, Martin (Details)
Polleres, Axel (Details)
External
Acosta, Maribel (Karlsruhe Institute of Technology, Germany)
Organization
Institute for Data, Process and Knowledge Management (AE Polleres) (Details)
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