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  4. The Downgrading Axioms Challenge for Qualitative Composition of Food Ingredients
Citation link
10.26092/elib/4231

The Downgrading Axioms Challenge for Qualitative Composition of Food Ingredients

Date Issued
2022
Author(s)
Krieg-Brückner, Bernd
Nolte, Robin
Pomarlan, Mihai
Kümpel, Michaela
Abstract
Qualitatively graded relations provide increased granularity for fine-grain modelling, and achieve qualitative abstraction from quantitative data. We focus on composite dosage for food ingredients in the BAALL Ontology (of considerable size): weight ratios, Alcohol By Volume, etc. To deduce the overall qualitative composition by reasoning, axioms for downgrading are introduced. These impose a heavy load on reasoning such that conventional reasoners fail.
Subjects
qualitatively graded relations

; 

downgrading

; 

composite dosage

; 

food ingredients
Publisher
RWTH Aachen
Institution
Universität Bremen
Faculty
Fachbereich 03: Mathematik/Informatik (FB 03)
Zentrale Wissenschaftliche Einrichtungen und Kooperationen
Institute
Technologie-Zentrum Informatik und Informationstechnik (TZI)
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)
SFB EASE – Everyday Activity Science and Engineering
Type
conference paper
Journal/Edited collection
SemREC-SMART 2022 (Joint Proceedings of SemREC 2022 and SMART 2022) = CEUR Workshop Proceedings, Band 3337
Start page
6
End page
15
Page number
10
Secondary publication
Yes
Document version
Published Version
License
https://creativecommons.org/licenses/by/4.0/
Language
English
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Krieg-Brueckner et al_The Downgrading Axioms Challenge_2022_published-version.pdf

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11.33 MB

Format

Adobe PDF

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