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 / Gu, Z.; Calvanese, D.; Di Panfilo, M.; Lanti, D.; Mosca, A.; Xiao, G.. - (2024), pp. 381-383. (Intervento presentato al convegno 3rd Workshop on Search, Exploration, and Analysis in Heterogeneous Datastores: Graph Edition at 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW) tenutosi a Utrecht; Netherlands) [10.1109/ICDEW61823.2024.00060].
OBDF: OBDA + Data Federation - Extended Abstract
Calvanese D.
;Di Panfilo M.
;
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.| File | Dimensione | Formato | |
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