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Title: | Graph-Driven Federated Data Management (Extended Abstract) | Authors: | Nadal, Sergi Abello, Alberto Romero, Oscar VANSUMMEREN, Stijn Vassiliadis, Panos |
Issue Date: | 2022 | Publisher: | IEEE COMPUTER SOC | Source: | 2022 IEEE 38TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2022), IEEE COMPUTER SOC, p. 1507 -1508 | Series/Report: | IEEE International Conference on Data Engineering | 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. | Notes: | Nadal, S (corresponding author), Univ Politecn Cataluna, Barcelona, Spain. snadal@essi.upc.edu; aabello@essi.upc.edu; oromero@essi.upc.edu; stijn.vansummeren@uhasselt.be; pvassil@cs.uoi.gr |
Keywords: | Data integration;query rewriting;GLAV mappings. | Document URI: | http://hdl.handle.net/1942/38866 | ISBN: | 978-1-6654-0883-7 | DOI: | 10.1109/ICDE53745.2022.00130 | ISI #: | 000855078401054 | Rights: | 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. DOI 10.1109/ICDE53745.2022.00130 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2023 |
Appears in Collections: | Research publications |
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