Object-Relational Queries over CFDInc Knowledge Bases: OBDA for the SQL-Literate
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 1258-1263.
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.
@inproceedings{ijcai2016p182,
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 = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {1258--1263},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/182},
}
TY - CPAPER TI - Object-Relational Queries over CFDInc Knowledge Bases: OBDA for the SQL-Literate AU - Jacques, Jason St. AU - Toman, David AU - Weddell, Grant E. T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 1258 EP - 1263 UR - https://ijcai.org/proceedings/2016/182 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
