Proceedings

Temporal and Spatial OBDA with Many-Dimensional Halpern-Shoham Logic

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Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 1160-1165.

Abstract

We design an extension datalogHS of datalog with hyperrectangle generalisations of Halpern-Shoham's modal operators on intervals and a corresponding query language. We prove that, over n-dimensional spaces comprised of Z and R, finding certain answers to datalogHS queries can be reduced to standard datalog query answering. We present experimental results showing the expressivity and efficiency of datalogHS on historical data.

Roman Kontchakov, Laura Pandolfo, Luca Pulina, Vladislav Ryzhikov, and Michael Zakharyaschev. 2016. Temporal and Spatial OBDA with Many-Dimensional Halpern-Shoham Logic. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16. IJCAI, 1160–1165. https://ijcai.org/proceedings/2016/168
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