Graph-driven federated data management (extended abstract)
Visualitza/Obre
10.1109/ICDE53745.2022.00130
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/374720
Tipus de documentText en actes de congrés
Data publicació2022
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
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Abstract
Modern data analysis applications require the ability to provide on-demand integration of data sources while offering a user-friendly query interface. Traditional methods for answering queries using views, focused on a rather static setting, fail to address such requirements. To overcome these issues, we propose a full fledged, GLAV-based data integration approach based on graph-based constructs. The extensibility of graphs allows us to extend the traditional framework for data integration with view definitions. Furthermore, we also propose a query language based on subgraphs. We tackle query answering via a query rewriting algorithm based on well-known algorithms for answering queries using views. We experimentally show that our method yields good performance with no significant overhead.
CitacióNadal, S. [et al.]. Graph-driven federated data management (extended abstract). A: IEEE International Conference on Data Engineering. "2022 IEEE 38th International Conference on Data Engineering: 9-11 May 2022, virtual event: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2022, p. 1507-1508. ISBN 978-1-6654-0883-7. DOI 10.1109/ICDE53745.2022.00130.
ISBN978-1-6654-0883-7
Versió de l'editorhttps://ieeexplore.ieee.org/document/9835607
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