Abstract
The dynamicity of semantic data has propelled the research on RDF Archiving, i.e., the task of storing and making the full history of large RDF datasets accessible. However, existing archiving techniques fail to scale when confronted with very large RDF datasets and support only simple SPARQL queries. In this demonstration, we therefore showcase GLENDA, a system that can run full SPARQL 1.1 compliant queries over large RDF archives. We achieve this through a multi-snapshot change-based storage architecture that we interface using the Comunica query engine. Thanks to this integration we demonstrate that fast SPARQL query processing over multiple versions of a knowledge graph is possible. Moreover, our demonstration provides different statistics about the history of RDF datasets that can be useful for tasks beyond querying and by providing insights about the evolution dynamics of the data.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Aebeloe, C., Montoya, G., Hose, K.: ColChain: collaborative linked data networks. In: WWW, pp. 1385–1396. ACM/IW3C2 (2021)
Fernández, J.D., Umbrich, J., Polleres, A., Knuth, M.: Evaluating query and storage strategies for RDF archives. JWS 10(2), 247–291 (2019)
Hose, K.: Knowledge graph (r)evolution and the web of data. In: MEPDaW@ISWC, pp. 1–7 (2021)
Neumaier, S., Umbrich, J., Polleres, A.: Automated quality assessment of metadata across open data portals. JDIQ 8(1), 2:1–2:29 (2016)
Pelgrin, O., Galárraga, L., Hose, K.: Towards fully-fledged archiving for RDF datasets. SWJ 12(6), 903–925 (2021)
Pelgrin, O., Taelman, R., Galárraga, L., Hose, K.: Scaling large RDF archives to very long histories. In: ICSC (2023)
Sagi, T., Lissandrini, M., Pedersen, T.B., Hose, K.: A design space for RDF data representations. VLDB J. 31(2), 347–373 (2022)
Seaborne, A., Harris, S.: SPARQL 1.1 query language. W3C Recommendation, W3C (2013). http://www.w3.org/TR/2013/REC-sparql11-query-20130321/
Taelman, R., Sande, M.V., Herwegen, J.V., Mannens, E., Verborgh, R.: Triple storage for random-access versioned querying of RDF archives. JWS 54, 4–28 (2019)
Taelman, R., Sande, M.V., Verborgh, R.: Versioned querying with OSTRICH and comunica in MOCHA 2018. In: SemWebEval@ESWC, vol. 927, pp. 17–23 (2018)
Taelman, R., Van Herwegen, J., Vander Sande, M., Verborgh, R.: Comunica: a modular sparQL query engine for the web. In: ISWC (2018)
Acknowledgements
This research was partially funded by the Danish Council for Independent Research (DFF) under grant agreement no. DFF-8048-00051B, the Poul Due Jensen Foundation, and the TAILOR Network (EU Horizon 2020 research and innovation program under GA 952215). Ruben Taelman is a postdoctoral fellow of the Research Foundation - Flanders (FWO) (1274521N).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Pelgrin, O., Taelman, R., Galárraga, L., Hose, K. (2023). GLENDA: Querying RDF Archives with Full SPARQL. In: Pesquita, C., et al. The Semantic Web: ESWC 2023 Satellite Events. ESWC 2023. Lecture Notes in Computer Science, vol 13998. Springer, Cham. https://doi.org/10.1007/978-3-031-43458-7_14
Download citation
DOI: https://doi.org/10.1007/978-3-031-43458-7_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-43457-0
Online ISBN: 978-3-031-43458-7
eBook Packages: Computer ScienceComputer Science (R0)