@inproceedings{a6fb5e0d647148c580d9d21fb562268b,
title = "Using ontologies to query probabilistic numerical data (Extended Abstract)?",
abstract = "We consider ontology-based query answering in a setting where some of the data are numerical and of a probabilistic nature, such as data obtained from uncertain sensor readings. The uncertainty for such numerical values can be more precisely represented by continuous probability distributions than by discrete probabilities for numerical facts concerning exact values. For this reason, we extend existing approaches using discrete probability distributions over facts by continuous probability distributions over numerical values. We determine the exact (data and combined) complexity of query answering in extensions of the well-known description logics EL and ALC with numerical comparison operators in this probabilistic setting.",
author = "Franz Baader and Patrick Koopmann and Anni-Yasmin Turhan",
year = "2017",
language = "English",
volume = "1879",
series = "CEUR Workshop Proceedings",
publisher = "CEUR-WS",
editor = "A. Artale and B. Glimm and R. Kontchakov",
booktitle = "DL 2017 - Proceedings of the 30th International Workshop on Description Logics",
note = "30th International Workshop on Description Logics, DL 2017 ; Conference date: 18-07-2017 Through 21-07-2017",
}