Proceedings Abstracts of the Twenty-Fifth International Joint Conference on Artificial Intelligence

Temporal and Spatial OBDA with Many-Dimensional Halpern-Shoham Logic / 1160
Roman Kontchakov, Laura Pandolfo, Luca Pulina, Vladislav Ryzhikov, Michael Zakharyaschev

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.