Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/34260
Title: Graph-driven Federated Data Management
Authors: Nadal, Sergi
Abello, Alberto
Romero, Oscar
VANSUMMEREN, Stijn 
Vassiliadis, Panos
Issue Date: 2021
Publisher: IEEE
Source: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,
Status: Early view
Abstract: Modern data analysis applications require the ability to provide on-demand integration of data sources while offering a flexible and user-friendly query interface. Traditional techniques for answering queries using views, focused on a rather static setting, fail to address such requirements. To overcome these issues, we propose a fully-fledged 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 the proposed method yields good performance and does not introduce a significant overhead.
Keywords: Data integration;data wrangling;GLAV mappings
Document URI: http://hdl.handle.net/1942/34260
ISSN: 1041-4347
e-ISSN: 1558-2191
DOI: 10.1109/TKDE.2021.3077044
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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