Graph-Driven Federated Data Management (Extended Abstract)

Autor: Sergi Nadal, Alberto Abello, Oscar Romero, Stijn Vansummerem, Panos Vassiliadis
Přispěvatelé: Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació, Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Services, Information and Data Engineering, Nadal, Sergi, Abello, Alberto, Romero, Oscar, VANSUMMEREN, Stijn, Vassiliadis, Panos
Rok vydání: 2022
Předmět:
Zdroj: 2022 IEEE 38th International Conference on Data Engineering (ICDE).
DOI: 10.1109/icde53745.2022.00130
Popis: 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. Sergi Nadal is partly supported by the Spanish Ministerio de Ciencia e Innovacion, as well as the European Union - NextGenerationEU, under project FJC2020-045809-I / AEI/10.13039/501100011033.
Databáze: OpenAIRE