OBDF: OBDA + Data Federation -- Extended Abstract

Proc. of the ICDE Workshop on Search, Exploration, and Analysis in Heterogeneous Datastores: Graph Edition (SEAGraph 2024). 2024.

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.

@inproceedings{SEAGraph-2024,
   title = "OBDF: OBDA + Data Federation -- Extended Abstract",
   year = "2024",
   author = "Zhenzhen Gu and Diego Calvanese and Di Panfilo, Marco and
Davide Lanti and Alessandro Mosca and Guohui Xiao",
   booktitle = "Proc. of the ICDE Workshop on Search, Exploration, and
Analysis in Heterogeneous Datastores:  Graph Edition (SEAGraph 2024)",
   pages = "381--383",
   publisher = "IEEE",
   doi = "10.1109/ICDEW61823.2024.00060",
}