Ontology-Based Data Access (OBDA) has emerged as a well-established approach to information management, facilitating access to a sole relational relational database via a high-level ontology and declarative mappings. In response to the challenges posed by Big Data, we propose the Ontology-Based Data Federation (OBDF) framework, which merges OBDA with Data Federation. This merging allows for the integration of numerous, distributed, and heterogeneous data sources in a virtual, uniform, and semantically coherent fashion.

OBDF: OBDA + Data Federation - Extended Abstract

Mosca A.;
2024

Abstract

Ontology-Based Data Access (OBDA) has emerged as a well-established approach to information management, facilitating access to a sole relational relational database via a high-level ontology and declarative mappings. In response to the challenges posed by Big Data, we propose the Ontology-Based Data Federation (OBDF) framework, which merges OBDA with Data Federation. This merging allows for the integration of numerous, distributed, and heterogeneous data sources in a virtual, uniform, and semantically coherent fashion.
2024
Istituto di Scienze e Tecnologie della Cognizione - ISTC - Sede Secondaria Trento
979-8-3503-8403-1
Data Federation
OBDA
OBDF
Query Optimization
VKG
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Descrizione: Z. Gu, D. Calvanese, M. D. Panfilo, D. Lanti, A. Mosca and G. Xiao, "OBDF: OBDA + Data Federation – Extended Abstract," 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW), Utrecht, Netherlands, 2024, pp. 381-383, doi: 10.1109/ICDEW61823.2024.00060.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/536582
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