Incremunica : web-based incremental view maintenance for SPARQL
- Author
- Maarten Vandenbrande (UGent) , Ruben Taelman (UGent) , Pieter Bonte (UGent) and Femke Ongenae (UGent)
- Organization
- Project
- Abstract
- The dynamic nature of Linked Data from IoT devices, social media, and the financial sector requires efficient mechanisms to keep SPARQL query results up to date, as traditional reevaluation methods are computationally expensive and impractical. Incremental view maintenance (IVM) offers a more efficient alternative by updating query results incrementally. However, existing engines lack support for federated querying, dynamically adding and removing sources during query execution, SPARQL Query Language support, multiple IVM techniques, and client-side execution. In this paper, we present Incremunica, an incremental query engine that addresses these gaps. Incremunica uniquely integrates multiple state-of-the-art incremental operators, allowing it to adapt to different queries and data for optimal performance. In this article, we provide 1) a requirements analysis comparing Incremunica to related work, 2) an explanation of Incremunica’s architecture and features, 3) a performance evaluation showing improvements over reevaluation, and 4) a demonstration of its benefits through a social media watch party application.
- Keywords
- Incremental View Maintenance, SPARQL, Dynamic Linked Data
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01JYK2B83DZDZ3FPS5GTE5NQKC
- MLA
- Vandenbrande, Maarten, et al. “Incremunica : Web-Based Incremental View Maintenance for SPARQL.” The Semantic Web : 22nd European Semantic Web Conference, ESWC 2025, Proceedings, Part II, edited by Edward Curry et al., vol. 15719, Springer, 2025, pp. 297–315, doi:10.1007/978-3-031-94578-6_17.
- APA
- Vandenbrande, M., Taelman, R., Bonte, P., & Ongenae, F. (2025). Incremunica : web-based incremental view maintenance for SPARQL. In E. Curry, M. Acosta, M. Poveda-Villalón, M. van Erp, A. Ojo, K. Hose, … P. Lisena (Eds.), The Semantic Web : 22nd European Semantic Web Conference, ESWC 2025, Proceedings, Part II (Vol. 15719, pp. 297–315). https://doi.org/10.1007/978-3-031-94578-6_17
- Chicago author-date
- Vandenbrande, Maarten, Ruben Taelman, Pieter Bonte, and Femke Ongenae. 2025. “Incremunica : Web-Based Incremental View Maintenance for SPARQL.” In The Semantic Web : 22nd European Semantic Web Conference, ESWC 2025, Proceedings, Part II, edited by Edward Curry, Maribel Acosta, Maria Poveda-Villalón, Marieke van Erp, Adegboyega Ojo, Katja Hose, Cogan Shimizu, and Pasquale Lisena, 15719:297–315. Cham: Springer. https://doi.org/10.1007/978-3-031-94578-6_17.
- Chicago author-date (all authors)
- Vandenbrande, Maarten, Ruben Taelman, Pieter Bonte, and Femke Ongenae. 2025. “Incremunica : Web-Based Incremental View Maintenance for SPARQL.” In The Semantic Web : 22nd European Semantic Web Conference, ESWC 2025, Proceedings, Part II, ed by. Edward Curry, Maribel Acosta, Maria Poveda-Villalón, Marieke van Erp, Adegboyega Ojo, Katja Hose, Cogan Shimizu, and Pasquale Lisena, 15719:297–315. Cham: Springer. doi:10.1007/978-3-031-94578-6_17.
- Vancouver
- 1.Vandenbrande M, Taelman R, Bonte P, Ongenae F. Incremunica : web-based incremental view maintenance for SPARQL. In: Curry E, Acosta M, Poveda-Villalón M, van Erp M, Ojo A, Hose K, et al., editors. The Semantic Web : 22nd European Semantic Web Conference, ESWC 2025, Proceedings, Part II. Cham: Springer; 2025. p. 297–315.
- IEEE
- [1]M. Vandenbrande, R. Taelman, P. Bonte, and F. Ongenae, “Incremunica : web-based incremental view maintenance for SPARQL,” in The Semantic Web : 22nd European Semantic Web Conference, ESWC 2025, Proceedings, Part II, Portoroz, Slovenia, 2025, vol. 15719, pp. 297–315.
@inproceedings{01JYK2B83DZDZ3FPS5GTE5NQKC,
abstract = {{The dynamic nature of Linked Data from IoT devices, social media, and the financial sector requires efficient mechanisms to keep SPARQL query results up to date, as traditional reevaluation methods are computationally expensive and impractical. Incremental view maintenance (IVM) offers a more efficient alternative by updating query results incrementally. However, existing engines lack support for federated querying, dynamically adding and removing sources during query execution, SPARQL Query Language support, multiple IVM techniques, and client-side execution. In this paper, we present Incremunica, an incremental query engine that addresses these gaps. Incremunica uniquely integrates multiple state-of-the-art incremental operators, allowing it to adapt to different queries and data for optimal performance. In this article, we provide 1) a requirements analysis comparing Incremunica to related work, 2) an explanation of Incremunica’s architecture and features, 3) a performance evaluation showing improvements over reevaluation, and 4) a demonstration of its benefits through a social media watch party application.}},
author = {{Vandenbrande, Maarten and Taelman, Ruben and Bonte, Pieter and Ongenae, Femke}},
booktitle = {{The Semantic Web : 22nd European Semantic Web Conference, ESWC 2025, Proceedings, Part II}},
editor = {{Curry, Edward and Acosta, Maribel and Poveda-Villalón, Maria and van Erp, Marieke and Ojo, Adegboyega and Hose, Katja and Shimizu, Cogan and Lisena, Pasquale}},
isbn = {{9783031945779}},
issn = {{0302-9743}},
keywords = {{Incremental View Maintenance,SPARQL,Dynamic Linked Data}},
language = {{eng}},
location = {{Portoroz, Slovenia}},
pages = {{297--315}},
publisher = {{Springer}},
title = {{Incremunica : web-based incremental view maintenance for SPARQL}},
url = {{http://doi.org/10.1007/978-3-031-94578-6_17}},
volume = {{15719}},
year = {{2025}},
}
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