Using Ontologies to Query Probabilistic Numerical Data

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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.

Details

Original languageEnglish
Title of host publicationFrontiers of Combining Systems
PublisherSpringer, Berlin [u. a.]
Pages77-94
Number of pages18
Publication statusPublished - 2017
Peer-reviewedYes

Publication series

SeriesLecture Notes in Computer Science, Volume 10483
ISSN0302-9743

External IDs

ORCID /0000-0002-4049-221X/work/142247944
Scopus 85029600432

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