Abstract
SPARQL property path queries allow to write sophisticated navigational queries on knowledge graphs (KGs). However, the evaluation of these queries on online KGs are often interrupted by fair use policies, returning only partial results. SaGe-Path addresses this issue by relying on the Web preemption and the concept of Partial Transitive Closure (PTC). Under PTC, the graph exploration for SPARQL property path queries is limited to a predefined depth. When the depth limit is reached, frontier nodes are returned to the client. A PTC-client is then able to reuse frontier nodes to continue the exploration of the graph. In this way, SaGe-Path follows a pay-as-you-go approach to evaluate SPARQL property path queries. This demonstration shows how queries that do not complete on the public Wikidata SPARQL endpoint can complete using SaGe-Path. An extended user-interface provides real-time visualization of all SaGe-Path internals, allowing to understand the approach overheads and the effects of different parameters on performance. SaGe-Path demonstrates how complex SPARQL property path queries can be efficiently evaluated online with guaranteed complete results.
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Notes
- 1.
SaGe is available at https://sage.univ-nantes.fr.
- 2.
Source Code: https://github.com/JulienDavat/ppaths-demo.
- 3.
Video: https://youtu.be/u47rbvIawkc.
References
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Aimonier-Davat, J., Skaf-Molli, H., Molli, P.: Processing sparql property path queries online with web preemption. In: European Semantic Web Conference (2021)
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Minier, T., Skaf-Molli, H., Molli, P.: Sage: Web preemption for public sparql query services. In: The World Wide Web Conference, pp. 1268–1278 (2019)
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Acknowledgments
This work is supported by the national ANR DeKaloG (Decentralized Knowledge Graphs) project, ANR-19-CE23-0014, CE23 - Intelligence artificielle.
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Aimonier-Davat, J., Skaf-Molli, H., Molli, P. (2021). SaGe-Path: Pay-as-you-go SPARQL Property Path Queries Processing Using Web Preemption. In: Verborgh, R., et al. The Semantic Web: ESWC 2021 Satellite Events. ESWC 2021. Lecture Notes in Computer Science(), vol 12739. Springer, Cham. https://doi.org/10.1007/978-3-030-80418-3_22
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DOI: https://doi.org/10.1007/978-3-030-80418-3_22
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