Object-Relational Queries over CFDInc Knowledge Bases: OBDA for the SQL-Literate
Abstract
We consider how SQL-like query languages over object-relational schemata canbe preserved in the setting of ontology based data access (OBDA), thus leveraging wide familiarity with relational technology. This is enabled by the adoption of the logic CFDnc-forall, a member of the CFD family of description logics (DLs). Of particular note is that this logic can fully simulate DLlite-F, a member ofthe DL-Lite family commonly used in the OBDA setting. Our main results present efficient algorithms that allow computation ofcertain answers with respect to CFDnc-forall nowledge bases, facilitating direct access to a pre-existing row-basedrelational encoding of the data without any need for mappings to triple-based representations. PDF
Cite
Text
Jacques et al. "Object-Relational Queries over CFDInc Knowledge Bases: OBDA for the SQL-Literate." International Joint Conference on Artificial Intelligence, 2016.Markdown
[Jacques et al. "Object-Relational Queries over CFDInc Knowledge Bases: OBDA for the SQL-Literate." International Joint Conference on Artificial Intelligence, 2016.](https://mlanthology.org/ijcai/2016/jacques2016ijcai-object/)BibTeX
@inproceedings{jacques2016ijcai-object,
title = {{Object-Relational Queries over CFDInc Knowledge Bases: OBDA for the SQL-Literate}},
author = {Jacques, Jason St. and Toman, David and Weddell, Grant E.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2016},
pages = {1258-1264},
url = {https://mlanthology.org/ijcai/2016/jacques2016ijcai-object/}
}