Ontology-based data access (OBDA) is a well established approach to information management that facilitates the access to relational data sources through the mediation of a conceptual domain view, given in terms of an ontology, and the use of a declarative mapping between the data layer and the ontology. We formally introduce here the notion of ontology-based data federation (OBDF) to denote a framework that combines OBDA with a data federation layer where multiple heterogeneous sources are virtually exposed as a single relational database. We discuss opportunities and challenges of OBDF, and propose novel techniques to make query answering in the OBDF setting more efficient. Our techniques are validated through an extensive experimental evaluation based on the Berlin SPARQL Benchmark. This work is an abridged version of [1].
Ontology-Based Data Federation - A Framework Proposal / Gu, Zhenzhen; Calvanese, Diego; DI PANFILO, Marco; Lanti, Davide; Mosca, Alessandro; Xiao, Guohui. - 3478:(2023), pp. 210-219. (Intervento presentato al convegno 31st Symposium of Advanced Database Systems tenutosi a Galzingano Terme; Italia).
Ontology-Based Data Federation - A Framework Proposal
Diego Calvanese;Marco Di Panfilo;
2023
Abstract
Ontology-based data access (OBDA) is a well established approach to information management that facilitates the access to relational data sources through the mediation of a conceptual domain view, given in terms of an ontology, and the use of a declarative mapping between the data layer and the ontology. We formally introduce here the notion of ontology-based data federation (OBDF) to denote a framework that combines OBDA with a data federation layer where multiple heterogeneous sources are virtually exposed as a single relational database. We discuss opportunities and challenges of OBDF, and propose novel techniques to make query answering in the OBDF setting more efficient. Our techniques are validated through an extensive experimental evaluation based on the Berlin SPARQL Benchmark. This work is an abridged version of [1].File | Dimensione | Formato | |
---|---|---|---|
Gu_Ontology_2023.pdf
accesso aperto
Note: https://ceur-ws.org/Vol-3478/paper71.pdf
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Creative commons
Dimensione
1.74 MB
Formato
Adobe PDF
|
1.74 MB | Adobe PDF |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.