---
title: "Object-Relational Queries over CFDInc Knowledge Bases: OBDA for the SQL-Literate"
authors:
  - "Jason St. Jacques"
  - "David Toman"
  - "Grant E. Weddell"
doi: ""
url: "https://ijcai.org/proceedings/2016/182"
pdf: "https://ijcai.org/proceedings/2016/0182.pdf"
venue: "Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence"
year: 2016
pages: "1258-1263"
track: ""
keywords:
---

# Object-Relational Queries over CFDInc Knowledge Bases: OBDA for the SQL-Literate

Jason St. Jacques, David Toman, Grant E. Weddell

*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.